There is a universal consensus regarding the role of national culture in influencing operations management (OM) practices, yet its impact remains largely underexplored. This paper builds on the cross-cultural OM research framework that consists of three categories: operational decisions, supply chain management, and interdisciplinary topics. It highlights how national culture influences key operations and supply chain areas pertaining to product return policies, dynamic operations complexity, and buyer-supplier conflict management in cross-cultural relationships. This study further highlights national culture's role in determining post-acquisition performance in cross-border mergers and acquisitions, pre-release (digital) piracy, and the relationship between language and operational performance in supply chains. The paper further addresses emerging challenges in the field by introducing new research themes. It concludes with recommendations for future research, offering valuable guidance for scholars and practitioners navigating the complexities of managing culturally diverse and globally interconnected operations.
Ksenia Lavrichenko, Emilie Sofie Engdal, Rasmus L. Marvig
et al.
Abstract Background Next-generation sequencing (NGS) is well established in clinical diagnostics, and whole-genome sequencing (WGS) is increasingly becoming the method of choice, as a result of lower prices and robust comprehensive data. While guidelines exist for variant interpretation and laboratory quality considerations, there remains a need for standardised bioinformatics practices to ensure clinical consensus, accuracy, reproducibility and comparability. Methods This article presents consensus recommendations developed by 13 clinical bioinformatics units participating in the Nordic Alliance for Clinical Genomics (NACG) by expert bioinformaticians working in clinical production. The recommendations are based on clinical practice and focus on analysis types, test and validation, standardisation and accreditation, as well as core competencies and technical management required for clinical bioinformatics operations. Results Key recommendations include adopting the hg38 genome build as reference, and a standard set of recommended analyses, including the use of multiple tools for structural variant (SV) calling and in-house data sets for filtering recurrent calls. Clinical bioinformatics in production should operate at standards similar to ISO 15189, utilising off-grid clinical-grade high-performance computing systems, standardised file formats and strict version control. Reproducibility should be ensured through containerised software environments. Pipelines must be documented and tested for accuracy and reproducibility, minimally covering unit, integration and end-to-end testing. Standard truth sets such as GIAB and SEQC2 for germline and somatic variant calling, respectively, should be supplemented by recall testing of real human samples that have been previously tested using a validated method. Data integrity must be verified using file hashing, while sample identity must be confirmed through fingerprinting and genetically inferred identification markers such as sex and relatedness. Finally, clinical bioinformatics should encompass diverse skills, including software development, data management, quality assurance and domain expertise in human genetics. Conclusions These recommendations provide a consensus framework for standardising bioinformatics practices across clinical WGS applications and can serve as a practical guide to facilities that are new to large-scale sequencing-based diagnostics, or as a reference for those who already run high-volume clinical production using NGS.
Alinazar Nazari, Afshin Soltani, Ebrahim Zeinali
et al.
Introduction The global population is currently estimated to exceed 8 billion and is projected to reach approximately 10 billion by 2050. To meet the food demands of this growing population, global food production must increase by about 70%. However, several challenges hinder this goal, including changes in agricultural land use, environmental issues, declining soil fertility, water resource shortages, and the slowdown in yield growth of major cereals over recent decades. These challenges undermine the possibility of doubling global food production within the mentioned time frame. Therefore, strategies to increase yield potential and reduce the yield gap are critical components of achieving sustainable food security with minimal environmental harm. The yield gap is defined as the difference between potential yield and actual yield, which often exhibits significant variability. Inadequate agricultural management practices, such as improper planting dates, suboptimal seed rates, insufficient plowing, improper fertilization, nonuse of herbicides, and inefficient irrigation, are the main contributors to yield gaps in grain production.Materials and MethodsThis study was conducted to estimate the yield gap, identify the factors contributing to it, and determine the contribution of each factor in Lorestan province, covering counties with varying climatic conditions, including Khorramabad, Durood, Kouhdasht and Nourabad. For this purpose, management information from 240 irrigated wheat (Triticum aestivum L.) farms was collected during the 2022-2023 season. The yield gap was determined using the comparative performance analysis (PCA) method.Results and DiscussionThe results showed that the average yield in the surveyed farms in Khorramabad, Doroud, Kouhdasht, and Nourabad county was 5002, 5563, 4183 and 3333 kg.ha-1, respectively, With improved management, these yields could potentially increase to 10936, 11815, 6218 and 10936 kg.ha-1. Based on the findings: in Nourabad, the most influential factors in the yield gap were the amount of phosphorus fertilizer used (1004 kg.ha-1), number of plowing operations (320 kg.ha-1), amount of manure used (60 kg.ha-1) and harvest date (202 kg.ha-1). In Kouhdasht the yield gap was primarily due to the number of irrigations (1049 kg.ha-1), nonuse of pesticide (353 kg.ha-1), use of the Kouhdasht variety (463 kg.ha-1), and lodging (170 kg.ha-1). In Doroud, the use of Talaee variety (1951 kg.ha-1), number of top-dress fertilizer applications (1598 kg.ha-1), inclusion of corn in crop rotation (1083 kg ha-1), farmer's background (826 kg.ha-1), nonuse of herbicide (82 kg.ha-1), and farm area (469 kg.ha). In Khorramabad, sugar beet rotation (3246 kg.ha-1), number of irrigations (1269 kg.ha-1), planting date (841 kg.ha-1), pre planting irrigation (463 kg.ha-1), nonuse of herbicide (40 kg.ha-1), lodging (74 kg.ha-1) were identified as key contributors to the yield gap.ConclusionThe yield gap ranged from 1587 kg.ha-1 (32%) to 6252 kg.ha-1 (53%). The main factors contributing to the yield gap due to suboptimal management included the frequency of top-dress fertilizer applications, number of irrigations, crop cultivar selection, crop rotation practices, herbicide use, pest and weed control, as well as the amount and application methods of chemical fertilizers. The achievable yield gap across the studied climates and counties was estimated to range from 1,586 to 5,002 kg.ha⁻¹. Assuming an average achievable yield gap of 3000 kg.ha-1, and considering the area under irrigated wheat cultivation in the province, optimizing management practices could result in an annual wheat production increase of 148488 tons. This increase corresponds to approximately 80% of the province’s irrigated wheat production and 42% of its total wheat production. Since variables such as crop rotation, use of appropriate cultivars, number of irrigations, number of plowings, and planting date have a greater impact on the yield gap, optimizing these factors can significantly boost irrigated wheat yields. Considering the cost–income ratio, such optimizations would also be more profitable for farmers in the studied counties.
As omnichannel operations become increasingly important for meeting diverse customer expectations in retail, continuous innovation in service and business models is essential to maintain a competitive edge. While effective order fulfillment is key to omnichannel success, the manual picking process in physical stores, one of the major driver of fulfillment costs, still offers substantial opportunities for improvement. This article focuses on the crowdpicking model as an innovative approach to manage online order picking operations in physical stores by leveraging existing in-store customers, offering a business model with considerable potential. We explore the real-time assignment of orders to in-store customers using machine learning to identify effective assignment policies. These policies are combined with a task-decomposition strategy to reduce picking costs and enhance crowdpicker participation as a key resource. The proposed crowdpicking model and its real-time management framework are tested on real-world data. Our results show that a well-managed crowdpicking system can lower order picking costs by more than 20% and provide actionable insights for managers in designing such systems.
The re-entrant flow with an unpredictable nature of arrival would apparently harm production plans and schedules in flow type of shops. The re-entrant flow with varied arrival frequencies in rotor blade manufacturing is quite complicated and results in disproportionate workloads. Hence, an attempt has been made to study the significant influence of disproportionate workloads and research on an innovative order release method to enhance performance. The manufacturing process was observed thoroughly to incorporate the uncertain events that cause disturbance in the production. A simulation model was developed on a discrete event simulation platform by analysing problem phenomena right from the conceptualization phase. The model has been verified and validated to ensure the accuracy. The model was subjected to 288 experiments representing different scenarios that a flow shop undergoes in reality. The factors considered in the experimentation were re-entrant frequency, re-entrant proportions, order release methods and priority dispatching rules. A refined load release policy for disproportionate loads has been proposed to judge its effectiveness in terms of profit computation by comparing it with other relevant policies. Results of the experiment revealed that the order release methods contribute 95.93% to throughput performance, in addition, the use of the new re-entrant method policy in the above scenario was productive in improving the overall shop performance.
Widya Prananta, Vitradesie Noekent, Angga Pandu Wijaya
et al.
Due to growing competition, customer retention has become a big problem in many service companies. Within a conceptual model for consumer switching intention, this article examines the influence of customer experience, customer satisfaction, and switching intention to green products, all of which are controlled by online information. Even though scholars have researched consumer switching intentions and the elements that influence them, the complex structural processes that minimize the chance of switching intentions in higher education institutions have remained unstudied. This paper addresses the role of customer experience and customer satisfaction to switching intentions moderated by online information. Data is collected through a questionnaire survey. This study employs purposive sampling to obtain respondents (n = 135), with the criteria, students at Universitas Negeri Semarang, a Conservatory University, who wish to switch to green products. Empirical findings support the proposed model and hypotheses, demonstrating that (1) customer satisfaction is negatively related to switching intention, and (2) The online information factor further strengthens the relationship between customer satisfaction and switching intention. The findings of this study provide a unified understanding of the structural relationships that contribute to increased green switching intention to the development of disconfirmation theories in the higher-education context. Implementing a green campus within Universitas Negeri Semarang, campus communities are encouraged to switch to environmentally friendly products to support green campus policies.
Production management. Operations management, Management. Industrial management
Introduction The development process of organic cultivation in Iran is not favorable because the average growth rate of organic agriculture development from 2008 to 2019 according to FAO statistics in 2021 is equal to -0.47% and this is while foods contaminated with various substances Chemicals have an unpleasant effect on the general health of society. According to the statistics of 2021, 600 million people in the world, i.e. 1 out of every 10 people, will get sick after eating food. Since any change in the use of chemicals in agriculture should be based on the behavior of farmers, the purpose of this study is to investigate the behavioral intention to produce organic pistachio production among 5200 pistachio growers in Ardakan county, Yazd province, using the Decomposed Theory of Planned Behavior (DTPB) analysis. Material and Methods The current research is classified as a quantitative research and is a descriptive-survey type of research, and in terms of the type of objective, it is considered a part of applied research. Based on Cochran's formula, the sample size was determined to be 358 people. Considering the distribution and dispersion of pistachio growers in different sectors, multi-stage random sampling was used. The face and content validity of the questionnaire was confirmed by a panel of academic experts in the departments of horticulture, agricultural development, plant protection and psychology, as well as experts of Jihad Keshavarzi of the county. To determine the reliability of the questionnaire tool, a pre-test study was conducted among 30 farmers of Aqda Aflatak village, which was part of the villages of Ardakan city, but outside the study sample. The reliability of the questionnaire was estimated using Cronbach's alpha test. Cronbach's alpha coefficient was obtained from 0.649 to 0.836, which indicates acceptable reliability. SPSS22 and SmartPLS2 software were used for data analysis. Result and DiscussionDescriptive findings showed that 358 respondents were 336 men and 22 women. Among them, 48 people lived in the village and 310 people lived in the city. The statistical results of the present study showed that the average age of the respondents was 53 years old, who had an average of 9 years of formal education. They had an average of 15 years of experience in the field of pistachio farming, and 30% of household income was dependent on pistachio production. According to the statistical sample of the research in terms of age, the highest frequency (137) were in the 41-50 age group. In terms of pistachio cultivation area, 204 farmers had less than one hectare, which constituted 59.9% of the studied sample. The inferential findings of this research showed that the factors affecting farmers' behavioral intention to produce organic pistachio products were perceived mental norms (β= 0/362) and perceived behavioral control (β=0/185). The findings of this research were in line with the results of Yadavar et al (2018). Also, the findings of this study showed the absence of a significant relationship between attitude and behavioral intention, which was not in line with the results of Safi Sis et al. (2020), Fatemi et al. (2018), Yadavar et al. (2018). According to the research model, the lack of a significant effect between the attitude variable and farmers' perception of the compatibility of organic production methods with their current values and needs, including consumers not purchasing organic pistachios, is notable. This lack of impact may be attributed to consumer-related challenges such as higher prices and insufficient information and awareness about organic products, which could hinder the financial feasibility of implementing organic production. Moreover, the research indicates that the attitude variable did not significantly influence farmers' perception of the ease of applying organic pistachio production methods in the orchard. As a result, the attitude variable did not exert a significant effect on behavioral intention in this context. Conclusion The most important factors in the behavioral intention to produce organic pistachios are the variables of subjective norm and perceived behavioral control. In fact, the issue of environmental protection and measures to prevent water, soil and environment pollution were the popular and accepted behaviors among the pistachio growers in the studied area, and the pistachio growers had come to believe that the use of organic production methods is one of the accepted behaviors of important and prominent people in their accepted social network. Therefore, it is suggested that the extension department of Ardakan Agricultural Jihad Management, by holding various meetings centered on leading farmers in the matter of organic production, provides effective networking for more exposure, contact and communication of pistachio farmers, so as to facilitate their decision making process to enter into organic pistachio production. Also, the findings showed that from the point of view of pistachio farmers, the use of organic production methods and operations is under the control and authority of the farmer and he can use it in his garden if he wishes. Therefore, it is suggested that the extension department of Jihad-Kashawarzi management of Ardakan county continues to provide educational, facilities and services support needed by pistachio farmers and in this regard, planning and providing services in the direction of changing the consumer's attitude towards buying organic products in various ways such as festivals, exhibitions and production Media programs. Considering the importance of removing obstacles to the implementation of organic production in pistachio orchards, it is suggested that necessary support measures be established by the government in the field of covering the operational costs of organic pistachio production until the pistachio farmers reach the markets of organic products inside and outside the country. It is also suggested that due to the diversity in the quality of water, soil and pistachio variety of the farmers, the extension department should organize training courses in such a way that they understand the ease of using this kind of methods and its management in the garden.
Naufal Dwinanda Narra Putra, Robiyanto Robiyanto, Hans Hananto Andreas
This study was conducted to analyze the performance of the portfolio formed with different asset classes. The instrument used is the consumption sector index with 5 cryptocurrencies. Does the formed portfolio have a better performance than the portfolio that is only formed from the consumption sector index. The type of data in this study uses secondary data in the form of a daily frequency time series with a research period from January 2019 to January 2021. The data in this study used quantitative data. Portfolio performance measurement in this study was measured using the ratio of Sharpe, Treynor, Jensen, Sortino, and Omega. Based on the results of the study, it shows that the performance of the consumption sector index portfolio that is hedged with cryptocurrency produces a higher rate of return in the period during the pandemic than in the period before the pandemic. However, there is 1 crypto that produces negative values in each ratio and research period, namely Tether. Overall, the results of this study can be concluded that adding cryptocurrency to the formation of a portfolio will get a better portfolio performance.
Production management. Operations management, Management. Industrial management
Rapid socioeconomic development coupled with climate changes is likely to result in uncertainty in agricultural water use, making water resource management and regulation even more difficult. Traditional methods used in allocating and regulating water resources are unable to deal with the balance and optimize water supply and demand between different sectors. Achieving this goal requires a fundamental improvement in our current understanding of the hydrological cycle in farmland ecosystems, in particular, to what extent climate change and anthropogenic activities could reshape the hydrological processes such as precipitation, evapotranspiration, surface runoff, seepage and water consumption. Taking China as an example, this paper systematically analyzes the research progress made over the past few decades in the effect of global climate change on demand of agriculture for water, water supply to crop production, supply-demand balance, water recycling in different irrigation districts. We also analyze the areas that were poorly studied, and the perspectives for future research, especially the response of available water for agricultural use to environmental change at irrigation district scale. These include water supply to irrigation districts and their operations, crop water requirement, consolidating the study of the balance between water supply and demand, as well as theory and method for evaluating water resource bearing capacity in irrigation districts due to climate changes. We conclude that future study should address water cycle and transformation in irrigation districts, and mechanisms underlying the impact of water-saving irrigation technologies on the environment at regional scales.
Agriculture (General), Irrigation engineering. Reclamation of wasteland. Drainage
Aloysius Haryono, Tanika Dewi Sofianti, Dena Hendriana
Wamena airport experienced accidents in 2002, 2008, 2009, 2013, 2015, and 2016. All accidents were cargo flights and in approach and landing flight phases. As the Swiss Cheese concept, accident happened when errors penetrated safety defenses’ layers in straight line. Structuring NTSC’s investigations, under HFACS framework to understand the human factor failures type and HFIX strategy to close the failures by applying the recommendations, need to be done in air accident investigation. Eleven aviation experts and practitioners were interviewed in this study, to validate the framework. There were layers without any failures in accident 2008, 2013, and 2016. Accident in 2016 has no recommendation due operators’ safety actions were considered relevant to block failures. Accidents in 2002, 2009, 2013, and 2015 have failure in a layer which intervened by two or more recommendations. There were failures remain open in accident 2002, 2009, 2013, and 2016. Repetitive failure, error or violation of repetitive accidents in 2002, 2009, 2013, 2015, and 2016 is un-stabilized approach and has not been blocked with effective interventions. HFACS and HFIX are useful to framework the accident investigation, preventing similar accident happened in the future.
Production management. Operations management, Business
We study the effects associated with overconfidence in distribution channels, where overconfidence is defined as a decision maker’s cognitive bias in perceiving the expected outcome of an uncertain event as more certain than it likely is. Although overconfidence bias always leads to a lower expected profit for a centralized channel, we find that overconfidence can in fact enhance the performance of a decentralized channel comprising one overconfident manufacturer and retailer. That is, overconfidence can reduce the double marginalization effect so that, compared to a decentralized channel managed by unbiased firms, the profit of an overconfident decentralized channel can be higher. In a similar vein, overconfidence bias can benefit, rather than hurt, either or both channel members. Our results shed some light on the design and adoption of strategies aimed at enhancing decisions and curtailing overconfidence bias of supply chain executives.
Salah Mafakheri, Hadi Veisi, Korous Khoshbakht
et al.
Introduction: Today, agricultural resource management is a fundamental task for managers and planners due to the need to address the challenging issues between the supply and demand sectors. Accordingly, many researchers have emphasized that water, food, and energy in the world are experiencing significant stress and scarcity, and demand for these resources will increase significantly in the coming decades. The main purpose of this study is to provide a method for decision-makers in analyzing the link between water, energy, and food in the crop production system at the regional level and to perform a quantitative evaluation of it, which can be used to create a suitable and optimal cultivation pattern with pay attention to the available resources of the area.Material and methods: The present study was conducted to evaluate the water-food-energy relations of agricultural products in Dehgolan County. The required data were collected through face-to-face interviews with farmers and agricultural jihad statistics. The method of this paper was based on six indicators of water and energy consumption, mass productivity of water and energy, and economic productivity of water and energy. Based on these indicators, a water-food-energy index (WFENI) was calculated for each product. This method was applied to evaluate 7 main crops of wheat, potato, alfalfa, cucumber, barley, carrot, and rapeseed in water farms of Dehgolan County in the years 2019-2020.Results and discussion: The results of data analysis showed that alfalfa and potatoes had the highest water consumption (13131 cubic meters per hectare) and energy (85404 megajoules per hectare), respectively. Barley had the lowest water consumption (4197 cubic meters per hectare) and energy consumption (31394.4 megajoules per hectare). The use of chemical fertilizers had the largest share in the energy sector (except alfalfa). In the alfalfa crop, due to high mechanization operations, machinery had the largest share of energy consumption. Carrot was the most productive in water consumption (7.08 kg/m3) and energy (1.03 kg/mJ). Also, the lowest water and energy efficiency for canola (0.44 kg/m3) and energy (0.06 kg/MJ) were obtained. In the economic index of water and energy productivity, the highest values were obtained for cucumber (92959 Rials per cubic meter) and carrot (13202 Rials per megajoule), respectively. The lowest economic efficiency of water and energy was calculated 1549 Rials per cubic meter for carrots and 10688 Rials per megajoule for canola. This study showed that the WEFNI was calculated 0.86, 0.73, 0.51, 0.41, 4 / 0, 0.3, and 0.26 for carrot, cucumber, potato, wheat, barley, canola, and alfalfa crops , respectively, in Dehgolan city. Carrots received the highest WFENI score (best score) and alfalfa the lowest (worst score). Although potato, which is one of the water crops with a high level of cultivation in the region, had high water and energy consumption, due to its high physical productivity and economic productivity, it obtained the third score of the total index.Conclusion: In this study, agricultural products were compared based on indicators of water and energy consumption, physical productivity of water and energy, and economic productivity of water and energy. Based on these indicators, the water, food, and energy link index were calculated. The results can also be used as an effective tool to determine appropriate strategies for cultivation patterns, management of water and energy resources in the region, and a basis for planning and agricultural policies in the county.
Today, a brand new strategy that can foster agricultural production is being shaped based on IT solutions. The paper characterizes the state and prospects for the development of digital farm management, the challenges of mastering digital innovations by agricultural enterprises and ways to tackle them at the present stage. A study is relevant due to the lack of a conceptual approach to the evolution of information digital systems in the sector of ameliorative economy in the context of growing requirements for environmental safety and competitiveness of agricultural production. The solutions to create a common information environment uniting an enterprise with suppliers of resources and consumers of products (services) are also increasingly relevant today. A methodological toolkit rests on some general scientific approaches, including analysis and synthesis, methods of deduction and systems analysis, cluster approach. After careful evaluation of automated processes at reclamation enterprises, there can be no doubt that it is necessary to improve the efficiency of information and technological support for management decisions by digital systems. The challenges are related to: lack of proper concept and methodology of modern digital systems, as well as procedures for the integration cooperation of information resources and a digital management system operations for managing them; unified algorithms for handling information; automation operations that meet the present management requirements; qualified experts encouraged to improve the use of digital technologies. The basic procedures for enhancing digital systems at enterprises include: analytical evaluation of current production situation, development of a functional design and model of the integrated digital system; creation of a mechanism for its implementation. In the process of transforming digital support for managerial actions, the following actions are possible: modification of the structure of existing processes; automation of conventional technological and organizational production procedures; alignment of existing processes subject to the technologies being integrated; identification of new opportunities for operations.
That financial literacy and psychological characteristics are important determinants of financial decisions have long been recognized in the literature. By focusing on Micro Small Medium Enterprises (MSMEs), this study investigates the extent to which financial behaviour and financial well-being consisting of both financial security and financial anxiety can be explained by financial literacy and cognitive factors such as self-control, optimism, and deliberative thinking. Several demographic factors such as gender, age, educational background, and the length of engaging in MSMEs, as well as the characteristics of MSMEs such as industry and monthly sales turnover are functioned as control variables. Data were collected using a questionnaire that was purposively distributed to MSMEs’ actors and analysed using Partial Least Square-Structural Equation Modeling (PLS-SEM). In total, 155 samples were analyzed. The analysis shows that financial behaviour can be explained by deliberative thinking, financial security can be explained by financial literacy and optimism, while financial anxiety can be explained by self-control. Financial behaviour was also found to have a positive direct effect on financial security and financial anxiety. Thus, to improve the financial well-being of MSMEs’ actors, it may be necessary to improve their personal financial management skills that can lead to the positivity of financial behaviour.
Production management. Operations management, Management. Industrial management
The purpose of this study is to examine the effect of board diversity on corporate performance. In this paper, board diversity refers to the composition of board members consisting of women, foreign, ethnicity, size of the board of commissioner, and size board of directors. Whereas, corporate performance is measured by return on assets (ROA). The sample size of the study uses 48 publicly listed firms in the Sharia capital market of Indonesia for the observation period between 2015 and 2017. The results show that firms with women and foreigner in board had a significant and positive association with corporate performance. Similarly, the board of commissioners and the board of directors also had a significant and positive association with firm performance. However, the existence of the ethnic boards does not affect firm performance.
Production management. Operations management, Management. Industrial management
The Genesis of this Special Issue came from the Board of the POMS College on Humanitarian Operations and Crisis Management (HO&CM). It was seen as a necessary initiative to define the field and examine research opportunities. This Special Issue shows that humanitarian operations pose challenges for P/OM researchers and practitioners that differ markedly from those of conventional supply chains associated with profitable enterprises. On the basis of the eight articles in this Special Issue, we have described and demonstrated the unique characteristics of the POM/HO&CM interaction. We have also identified those attributes that tend to overlap with conventional aspects of POM. In addition to wanting to be cost effective, the issue of equity fairness is pervasive in humanitarian operations, and so is the need to always base considerations on “last‐mile logistics,” that is, getting aid to those in most need. Research is essential to determine how to train researchers to scout out and map the territory of the real problems. One of the most vexing problems is the lack of robust data in the humanitarian domain which is as richly varied as the types of disasters that can occur.
Elham Mahmudinejad, Adel Azar, Ali Rajabzadeh
et al.
Using cross-functional team (CFT) is a suitable strategy for improving the performance of organizations. The member selection problem is an important aspect of the CFT formation. Several evidences showed the important criteria for choosing true members are: cooperation and coordination, functional expertise, individual abilities, cost, and communication. In this paper, effective features for member selection are identified and a multi-objective 0–1 nonlinear programming model is developed. This model is developed by using individual and collaborative performance. Afterward, it is converted into the linear form by changing variables to solve it more easily. The proposed model is used in the real example in Census cross-functional team in the statistical center of Iran and required data were collected by surveys and interviews. The results indicate that this proposed model has better performance compared to recommendation of experts and can be used in other fields. Introduction: Nowadays using teams is increased; it helps companies and organizations to survive in product markets’ competition, business pressure, and customers’ expectations (Proehl, 1996; Santa, Ferrer, Bretherton et al. 2010; Fan, Feng, Jiang et al, 2009). Among various teams, cross-functional team is one of the most effective strategy which is used in NPD (Wang, Yan, and Ma, 2003), lean production, TQM and continuous improvement (Love and Roper, 2009). CFT is defined by a group of members who come from different functional areas (Feng, Jiang, Fan et al, 2010) in the same hierarchy as level within an organization, or even between organizations for a limited time )Saarani and Bakri, 2012). CFT has several advantages such as positive impact on cycle time and project performance )Barczak and Wilemon, 2003(, increasing learning, processing optimization, knowledge sharing (Love and Roper, 2009), creativity, problem solving (Santa, Ferrer, Bretherton et al. 2010; Saarani and Bakri, 2012), increasing competition in organization, responding to market changes (Santa, Ferrer, Bretherton et al. 2010), spanning organizational boundaries (Love and Roper, 2009; Feng, Jiang, Fan et al, 2010), and responding quickly to environmental changes (Zhang and Zhang, 2013) The first stage of team development is forming, therefore organizations must select candidates carefully to ensure CFT’s effects and success (Feng, Jiang, Fan et al, 2010). Correct selection prevents wasting time (Feng, Jiang, Fan et al, 2010), financial losses and productivity shortcoming )Saarani and Bakri, 2012(. Recently, some researchers have attended to CFT’s formation and discuss suitable characteristics to assemble members. In Chen and Lin (2004) study, functional expertise, teamwork experience, communication skill, flexibility in job assignment, and personality traits indicated as five important characteristics of team members that build successful multifunctional team. Fitzpatrick and Askin (2005) regarded innate tendencies, interpersonal skills, and technical skills as important criteria for member selection. Wang, Yan and Ma (2003) listed the selection attributes for the creation ability, management ability, utilization rates, cooperation levels, and so forth. Jiang et al. (2010) reported the criteria for selecting members for cross-functional teams: individual performance (such as work experience, ability to solve work problems, and technical knowledge), exterior organizational collaborative performance (such as the extent of external cooperation), and interior organizational collaborative performance (for instance mutual communication among members and collaboration in solving problems). Zhang and Zhang (2013) stated that the effective NPD team should have four capabilities: expertise and experience consistent, learning and knowledge sharing, communication, and problem-solving. Kargar and Zihayat (2012) discussed requirements such as communication, cost, and skills for desired members. Several evidences showed important criteria for choosing appropriate members. These are cooperation, coordination, functional expertise, individual abilities, cost, and communication. Existing researches focus on main skills of candidates while to the best of our knowledge there is no study that notices subskills of candidates. Furthermore, there is no study which considers all the criteria simultaneously. In addition, utilizing quantitative methods for the formation of CFTs has been the topic of recent researches. Chen and Lin (2004) used chain wise AHP to evaluate sharing knowledge and selecting members who have high knowledge rating in each department. Following that, they have proposed the nonlinear quantitative model to select the appropriate candidates based on teamwork capabilities and working relationships for teams in industrial environments. The working relationships and teamwork capabilities respectively are calculated by using MBTI and AHP. Fitzpatrick and Askin (2005) formulated mathematical model based on Kolbe Conative Index (synergy, inertia, and stability) that measures interpersonal structure for multi-functional teams and then solves it by heuristic solution. Zhang and Zhang (2013) presented nonlinear multi-objective optimization for NPD and employed Multi-objective Particle Swarm Optimization to resolve it. They improved fuzzy AHP based on Fuzzy Lin PreRa. In addition, they used the model to evaluate capability and employed MBTI to measure interpersonal relationships among members of interior and exterior departments of the organization. Jiang et al (2010) offered a multi-objective 0–1 programming model for formation cross-functional teams and developed an improved non dominated sorting genetic algorithm II (INSGA-II) to solve it. However, most of the existing methods for the formation of CFTs are nonlinear and there is no simple model for developing CFTs. Therefore the multi-objective nonlinear 0–1 programming model is built based on all of the criteria. Then to solve it more easily, it is converted into a linear form by changing variables. Materials and Methods: Five main measures are considered to form cross-functional teams: cooperation and coordination, functional expertise, individual abilities, cost, and communication. The Meyers-Briggs Type Indicator (MBTI) test is used to evaluate “cooperation and coordination”. MBTI is a self-help assessment test which indicates different psychological preferences in how people perceive the world and how they make decisions. The professional interview is conducted to assess “functional expertise”. In addition, the members answered self-report skill measures which rated in the Likert scale. In order to calculate “individual abilities” two methods are used: personal assessment (the participants are asked by questionnaire) and professional assessment (using the analytical hierarchy process (AHP) method). With the aim of realizing the “cost”, the paychecks of candidates are considered. Sociometry test is used to asses “communication”. The collected data, based on the mentioned methods, are analyzed and the model is developed. The proposed model minimizes the cost and maximizes the other objective measures. Global Criteria method is used to convert the multi-objective proposed model to the one-objective model. Furthermore, this non-linear model is transformed to linear by using the Glover and Woolsey’s method. Results and Discussion: In order to examine the proposed method, the Census cross-functional team in the statistical center of Iran as the real case is considered. Four departments were selected for this test. 10 people were nominated from chosen departments (3, 3, 2, and 2 members from each department, respectively). The proposed model was applied and the results were compared to the chosen team by the head of the office. Themembers selected by the proposed model are 1, 2, 4, 5 and 9. However, 1, 2, 4, 5, and 7 members are chosen by the expert. In fact, these two results are 80% in common. Conclusion: Forming cross-functional teams improves the performance of organizations. Selecting appropriate members for the team formation is a critical decision. Therefore, in this paper, significant features to form the CFT is found and a new model to solve the CFTs formation problem is developed. The findings show the vital criteria in CFTs are: cooperation and coordination, functional expertise, individual abilities, cost, and communication. We have developed simple, linear, multi-objective model which solve forming CFTs more easily and effectively. 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Management. Industrial management, Production management. Operations management