Hasil untuk "Large industry. Factory system. Big business"

Divya Gangwani, Xingquan Zhu, Borko Furht

AbstractThe success of the business directly contributes towards the growth of the nation. Hence it is important to evaluate and predict whether the business will be successful or not. In this study, we use the company’s dataset which contains information from startups to Fortune 1000 companies to create a machine learning model for predicting business success. The main challenge of business success prediction is twofold: (1) Identifying variables for defining business success; (2) Feature selection and feature engineering based on Investor-Business-Market interrelation to provide a successful outcome of the predictive modeling. Many studies have been carried out using only the available features to predict business success, however, there is still a challenge to identify the most important features in different business angles and their interrelation with business success. Motivated by the above challenge, we propose a new approach by defining a new business target based on the definition of business success used in this study and develop additional features by carrying out statistical analysis on the training data which highlights the importance of investments, business, and market features in forecasting business success instead of using only the available features for modeling. Ensemble machine learning methods as well as existing supervised learning methods were applied to predict business success. The results demonstrated a significant improvement in the overall accuracy and AUC score using ensemble methods. By adding new features related to the Investor-Business-Market entity demonstrated good performance in predicting business success and proved how important it is to identify significant relationships between these features to cover different business angles when predicting business success. Graphical Abstract

mohammad alimohammad, ُSeyed Jamal Farajallah Hosseini, Seyed Mehdi Mirdamadi et al.

The major purpose of this study was to investigate the effective factor in the formation of network agricultural production cooperative in the Alborz Province. The statistical population of the study includes cooperatives which are administrated by the "Ministry of Cooperatives, Labor and Social Welfare" and the "Rural Cooperative Organization" of the Alborz Province (N = 540). ). From this target population, 176 cooperatives were selected by multi-stage cluster sampling. Eventually, 175 questionnaires were collected and analyzed from the sample population. A questionnaire was developed to examine the technical, economical, educational, legal, social, and policy making factors affecting the formation of network among agricultural production cooperatives. The validity of the questionnaire was confirmed by experts in the field of Agricultural Extension and Education. To calculate the reliability coefficient of the questionnaire, Cronbach's alpha coefficient, which is applied for multi-scale questions, was used. The mean of Cronbach's alpha coefficients in this study was 0.803 which shows that the internal consistency of the questionnaire items is appropriate. The results showed that policy making, economic, legal, and educational factors had the most impact, while technical and social factors had no impact development of networks among agricultural production cooperatives.

Sarasadat Novin, Ali Shahnazari- Dorcheh, Abolfazl Baghbani arani

The aim of this study was to investigate the effect of using social media on the business performance of agricultural conversion cooperatives in Isfahan province with regard to the mediating role of social media marketing capabilities. The statistical population of the study consisted of business activists in this industry (including producers and distributors) of cooperative brands of agricultural conversion industries in Isfahan province (N = 230) that using random sampling method, 146 people were selected and the questionnaire was completed by visiting the companies in person or by e-mail. The data collection tool was a questionnaire that to confirm its validity and reliability, the questionnaire was provided to experts in this field and the necessary changes were applied to it, which was approved that Cronbach's alpha coefficient of variables (social media use, marketing capability and performance) are (0.940, 0.884 and 0.840), respectively. Structural equation modeling and SMART-PLS3 software were used to analyze the data. The first and second hypothesis tests showed that the significant effect of social media use on marketing capability was equal to 0.748 and on performance was equal to 0.254. Thus, the use of social media improves the performance of the cooperative business. Also, the significant effect of the effect of marketing capability on performance was equal to 0.359. As a result, the mediating effect of marketing capability between the relationship between social media use and cooperative performance was confirmed.

Sanaz Sheikhtajian, Ali Nazemi, Majid Feshari

In this paper modelling maritimeinventory-routing problem for liquefied natural gas (LNG) under uncertainty of travel time is presented. We consider one hypothetical LNG manufacturer in Iran that sells its products in the form of long-term contracts and spots. The purpose of the study is to examine and compare the shipping costs of split and non-split delivery.The objective function is minimizing the operational costs, contract penalties, and spot fees, and the main constraints are liquefaction port constraints, ship flows, customer and contractual constraints. Considering uncertainty in the problem is one of this paper's contributions which is modeled by assuming vessels speed as a fuzzy parameter. The parameter and related constraints are defuzifided by Jimenez approach and for solving this problem a metaheuristic method is applied and effectiveness of results are compared with a commercial solver. According to the computational results split delivery policy in deterministic problem is cost effective but in the uncertain situation it is more costly comparing to non-split delivery policy, so split delivery is not recommended in maritime transportation with uncertain nature.

somayeh Mahmoudsanii, Muhammad Reza Mahboobi, Abdolvahab Ghezel

The purpose of this study was to investigate the effectiveness of extension agronomic techniques using the societal experimentation evaluation model in the Peyvand rural production cooperative in the Aqqala Township in the Golestan province. The population included N=345 of farmers who were members in the cooperative as well as N=1104 of farmers who were not members. The sampling method was multi-stage random sampling, in which n=220 of farmers’ member in cooperative and n=200 of farmers’ non-member in cooperative were selected as the sample of the study. The data gathering tool was a questionnaire whose face validity was confirmed by experts and its reliability was confirmed by Cronbach's alpha for attitude and skill dimensions 0.92 and 0.84, respectively. The results showed that extension agronomic techniques improved the attitude of farmers’ member in land preparation and planting, growing and crop harvest and increased their knowledge and skills in this field. The results of the mean comparison showed that there was a significant difference between the two groups of farmers’ member and farmers’ non-member in cooperative in terms of knowledge, attitude and skill in land preparation and planting, growing and harvesting of agricultural products and in addition, extension agronomic techniques could improve farmers’ attitudes about land preparation and planting operations, and also could improve their knowledge and skills. The results of Friedman test showed that extension agronomic techniques had the most effect on knowledge and had the least impact on the field of land preparation and planting, growing and harvesting operations, on farmers’ member in cooperative.

Papatya Sevgin Bicakci, İmdat Kara

Order acceptance and scheduling problem consists of simultaneously deciding which orders to be selected and how to schedule these selected orders. An extension of this problem was introduced by Oğuz, Salman & Bilgintürk in 2010 and a mathematical formulation was presented. They defined the problem with sequence-dependent setup times and release dates. In this paper, we consider the case where there are no release dates for all orders. We develop a new mathematical formulation with O(n2) binary variables and O(n2) constraints and conduct a detailed computational analysis with CPLEX 12.4 by solving benchmark instances proposed by Cesaret, Oğuz, & Salman (2012). Reduced formulation of Oğuz, Salman & Bilgintürk (2010) can solve the test problems up to 10 orders to optimality in given time limit. Our proposed formulation can solve all the available instances up to 100 orders to optimality within the same time limit. We observe that our formulation is extremely faster than the existing one and can solve small and moderate size real-life problems to optimality.

Naeme Zarrinpoor

This paper aims to propose a multi-period multi-product supply chain network design which takes the sustainability dimensions into consideration in both strategic and operational decisions. Several critical issues in the planning of supply chain networks are considered in the model such as the capacity of facilities, the minimum acceptable rate for the social score of manufacturing plants and distribution centers, the maximum coverage radius, and the limited budget availability. In order to obtain an effective and efficient network design, different categories of uncertainty are also considered, including the provider-side uncertainty reflected in the capacity of constructed facilities, as well as the economic, environmental, social, and technical parameters, the receiver-side uncertainty reflected in the demand, and the in-between uncertainty reflected in the transportation costs and the maximum coverage radius. To deal with different sources of uncertainty in the concerned problem, a chance constrained fuzzy programming approach is employed. Several test problems are used to analyze the characteristics of the proposed problem. The computational results can help decision makers to design supply chain networks from economic, environmental, and social perspectives.

Tuba Adar, Elif Kilic Delice

Cargo transportation is part of the logistic sectors. Both service quality and customer satisfaction are very important for companies which provide cargo transportation services. This study aims to evaluate cargo companies via DMs (customers) preferences in Erzurum. Evaluating cargo companies is the multi-criteria decision making (MCDM) problem and DMs often use uncertain linguistic terms to express their assessments because DMs hesitate among different linguistic terms to provide their preferences. In this study, an integrated MC-HFLTS&MAIRCA (Multi-criteria Hesitant Fuzzy Linguistic Term Set and Multi Attribute Ideal-Real Comparative Analysis) method is used for evaluating and selecting the best cargo company. From this point of view, alternatives, criteria and DMs are defined and the integrated method is applied for the selection of the best cargo company. In order to test the results, MABAC, TOPSIS and VIKOR methods were used.

Sébastien Thomassey, Xianyi Zeng

Sébastien Thomassey, Xianyi Zeng

Mohammad N. Juybari, Mostafa Abouei Ardakan, Hamed Davari-Ardakani

Reliability-redundancy allocation problem (RRAP) is one of the most practical methods used to improve system reliability through performing a tradeoff between reliability and redundancy levels of components. RRAP aims to maximize the overall system reliability by creating a balance between the reliabilities of components and the number of redundant components in each subsystem. In RRAP, redundant components operate in a predetermined order under a redundancy strategy. In this paper, cold standby redundancy strategy is considered for the redundant components. Besides, a penalty guided water cycle algorithm is adjusted for solving the problem. The proposed algorithm is implemented on two famous benchmark problems to evaluate the performance of the proposed approach. Numerical results reveal the superiority of the proposed solution method compared to previous studies.

Aidin Delgoshaei, Ahad Ali, Masih Parvin et al.

In project planning process, resource over-allocation is a major shortcoming. The resource over-allocation causes the schedules not to be applicable in practice. Besides, in real projects, it is hard to predict the duration of activities since they may be changed due to lack of resources, delays in delivering resources, improper workers etc. that cause activities not to complete as predicted. Hence, it is important to develop a method that can schedule activities by considering different execution conditions. In this research, we focused on another aspect of solving resource over-allocation problem by considering uncertain activity duration. For this purpose, a mixed integer programming model is developed where the objective function is maximizing net present value of the project while duration of activities are not deterministic. Then a number of examples are solved using a heuristic algorithm. The results showed that the proposed algorithm can effectively solve the case studies with no over-allocated resources. Afterward, the algorithm is solved using the data of constructing a hospital. The results showed that the algorithm can successfully use for real projects.

mohammad rahbari, Roohallah samiee, majid ashrafi et al.

Organizational entrepreneurship is one of the main branches of entrepreneurship that plays an effective role in the success of organizations. Organizational Entrepreneurship is an internal organizational process that is influenced by internal organizational factors. In this research, after the literature studies, organizational entrepreneurship model based on organizational innovation consisting of four dimensions of innovation in product, process, organization and marketing is presented. The statistical population of this study was the non-random sample of 30 individuals selected in the two sections of the decision group consisting of experts with experience in the field of economics and business, especially in cooperative companies. Also statistical population of the study included all active dairy cooperative companies in the country consisting of 150 companies and 108 active cooperative companies were selected as statistical sample based on the Morgan table. The components of organizational innovation based on theoretical foundations and library studies were identified as 32 components, and finally, using a questionnaire and using experts' knowledge, 23 components were selected. Using the hierarchical process method and performing paired comparisons with selected Expert Choice11 software, selected dimensions and components were prioritized. The results showed that organizational entrepreneurship dimensions include product innovations, administrative innovation, process innovation, and marketing innovation, each with its own components.

Mohammad Mirabi, Nasibeh Shokri, Ahmad Sadeghieh

This paper considers the multi-depot vehicle routing problem with time window in which each vehicle starts from a depot and there is no need to return to its primary depot after serving customers. The mathematical model which is developed by new approach aims to minimizing the transportation cost including the travelled distance, the latest and the earliest arrival time penalties. Furthermore, in order to reduce the problem searching space, a novel GA clustering method is developed. Finally, Experiments are run on number problems of varying depots and time window, and customer sizes. The method is compared to two other clustering techniques, fuzzy C means (FCM) and K-means algorithm. Experimental results show the robustness and effectiveness of the proposed algorithm.

Mehrdad Nouri Koupaei, Mohammad Mohammadi, Bahman Naderi

Nowadays Business intelligence (BI) tools provide optimal decision making, analyzing, controlling and monitoring of operations in enterprise systems like enterprise resource planning (ERP) and mainly refer to strong decision making methods used in online analytical processing, reporting and data analysis, such as improve internal processes, analysis of resources, information needs analysis, reduce costs and increase revenue. The main purpose of paper is creating a unified framework for the application of BI in ERP systems which results of value-added inflexible manufacturing systems (FMS). In this paper, business process system and interaction between technology and environment byapplying BI in ERPsystems of companies that use flexible manufacturing systems have been presented. This paper is a comprehensive review of recent literature that examined the effects of BI systems on the fourlevels of Tenhialaet al.' Model (2015).This model based on cross-sectional data from 151 manufacturing plants proved that ERP is essential for the FMS. According to results of this paper, the answer to this question is important “How can we use the potential data, and intelligence of BI in ERP systems for the effective flexible manufacturing systems?” This study has four hypotheses to answer this question and based on results, all four hypotheses were confirmed. Finally, a model has been developed to determine the relationship between BI (as enabler of ERP) and FMS.

Abolfazl Kazemi, Zohreh SaeedMohammadi

Coordinating the supply chain is among the most important subjects that is extensively addressed in the related literature. If a supply chain is to be coordinated, it is equivalent to say that we must solve a problem related to competition and cooperation. The game theory is obviously one of the most effective methods to solve such problems, in which the players of the supply chain are assumed to engage in cooperative and non-cooperative games. The current study aims to coordinate a two-level supply chain consisting of a manufacturer and a retailer. This will be achieved using cooperative advertisement along with pricing decisions such that the manufacturer offers a price discount to the retailer and the demand is affected by pricing and advertisement. Cooperative advertisement is a coordinated effort made by all the members of the supply chain to increase the customer demand, in which the retailer does the local advertisement and the manufacturer pays for a portion or all the costs of the retailer advertisement. We consider two models for manufacturer-retailer relation using the game theory: the manufacturer-Stackelberg and the retailer-Stackelberg games with asymmetric power distribution.

Rishabh Agrawal

Mitra Darvish, Mehdi Seifabrghy, Mohammad Ali Saniei Monfared et al.

This paper explains a model for analyzing and measuring the propagation of order amplifications (i.e. bullwhip effect) for a single-product supply network topology considering exogenous uncertainty and linear and time-invariant inventory management policies for network entities. The stream of orders placed by each entity of the network is characterized assuming customer demand is ergodic. In fact, we propose an exact formula in order to measure the bullwhip effect in the addressed supply network topology considering the system in Markovian chain framework and presenting a matrix of network member relationships and relevant order sequences. The formula turns out using a mathematical method called frequency domain analysis. The major contribution of this paper is analyzing the bullwhip effect considering exogenous uncertainty in supply networks and using the Fourier transform in order to simplify the relevant calculations. We present a number of numerical examples to assess the analytical results accuracy in quantifying the bullwhip effect.

Mohammad Reza Zali, Mina Najafian, Amir Mohammad Colabi

System dynamics is a strategic approach for modeling complex systems and analyzing their behavior. Dynamic behavior in entrepreneurial system can be modeled using System Dynamics Approach and dynamic hypotheses about the system`s behavior can be proposed and tested using simulation and computer aided tools. However, as the review of literature shows, studies which link system dynamics modeling with entrepreneurship are rare and fragmented. This article presents a review of studies on the subject followed by integration and discussion on main research issues that have been the focus of previous studies. The main aim of this review is to categorize the available research related to the application of system dynamics modeling in entrepreneurship to integrate research and enable recommendations for future research. The Results reveal that the previous research could be categorized under a two dimensional taxonomy composed of level of analysis and level of modeling. The Level of analysis has three categories: micro level, meso level and macro level. The Level of modeling has six hierarchical levels. This study identifies several gaps in the literature and discusses the future directions in this field.

B Najafi, Z Farajzadeh

The objective of this study was to shed light on the present role of rural cooperatives in marketing of agricultural products and their potential to expand such activities. The data were collected from a randomly selected sample of cooperative members (765) in rural cooperatives (17) of Fars province. The required information was collected through questionnaires which were filled by selected cooperative members of Shiraz, Darab, Eghlid, Kazeroun and Marvdasht in 2005. For more accurate investigation of member’s characteristics in tendency to participate in participating marketing and sales of products through cooperatives, diagnosis-analysis method was used. The results of study revealed that rural cooperatives were active, to some extent, in supplying inputs such as fertilizer and pesticides but did not participated in marketing of agricultural products. In spite of this, cooperative members had tendency to market their products through their cooperatives because of advantages such as higher prices and access to a fair marketing channel. The results of the study also indicated that most of cooperative members because of financial troubles are not able to store and market their products after harvest and because of vast amount of intermediate dealers, a considerable amount of harvest are pre-purchased before or after harvesting. The most important limitations that cooperative faces in marketing are lack of financial and physical facilities. In conclusion the article suggest solutions for these limitations.