Marzieh Karimi; Abolfazl Kazemi
Abstract
Supplier selection is the process by which firms identify, evaluate, and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm's financial resources. Nowadays, supplying the required resource of organizations has become an important business approach so a competitive ...
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Supplier selection is the process by which firms identify, evaluate, and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm's financial resources. Nowadays, supplying the required resource of organizations has become an important business approach so a competitive advantage may be gained by the selection of the best suppliers to provide products/services more effectively and efficiently. Many models have been developed for solving supplier selection problem. In this paper, in addition to considering the incremental discount strategies, cost of shortages is also considered so far has not been considered. In this model, two objective functions of cost minimization of the buyer, and maximize quality of product is considered. To solve the proposed supplier selection model, an improved harmony search algorithm is used. The results show that the proposed algorithm works properly in the term of both CPU time and the quality of solutions. Finally, some numerical examples for model analyses are presented.
Reza Esmaeilpour; Adel Azar; Mohammad ShahMohammadi
Abstract
Nowadays many organizations involved in environmental, social and economic concerns and measure supplier performance on the fields; including the effect that "corporate social responsibility" could have on the suppliers’ selection. The aim of this study is determine of a model to selection of suppliers ...
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Nowadays many organizations involved in environmental, social and economic concerns and measure supplier performance on the fields; including the effect that "corporate social responsibility" could have on the suppliers’ selection. The aim of this study is determine of a model to selection of suppliers based on corporate social responsibility. By a review of research literature and obtaining the opinion of experts, the issues were identified in the 5 dimensions (organizational commitment, employee, commitment to society and citizenship, moral commitments, environmental commitments) and 17 indicators. Then the matrix structured questionnaire was developed to determine the intermediate relationship of these indicators. Questionnaire's obtained data analyses using ISM so it was traced 6 levels in an interactive network that indicator "focus on sustainable development" was at the highest level. Also, influence and dependence of the indicators relative to each other on the matrix influence-dependence was evaluated. The most influential indicator in the matrix influence-dependence is "Providing relevant training in CSR to the suppliers”; so the implementation of Corporate Social Responsibility in the selection of suppliers depends on their training and to be with this attitude, long-term plans would be design on the basis of social responsibility training specifically for suppliers
Adel Azar; Mahdi Abedini Naeini; Amir Afsar; Mohammad Sabet Motlagh
Volume 14, Issue 42 , October 2016, , Pages 1-30
Abstract
Supplier selection and quota allocation is an important decision in supplychains. This decision can be considered as a complex multi-criteria groupdecision making problem. This decision in many practical situations is verydifficult for vague and uncertain environment. This vagueness and uncertaintycan ...
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Supplier selection and quota allocation is an important decision in supplychains. This decision can be considered as a complex multi-criteria groupdecision making problem. This decision in many practical situations is verydifficult for vague and uncertain environment. This vagueness and uncertaintycan be handled by using fuzzy set theory. Therefore, this paper proposed afuzzy MCDM model to evaluate candidate suppliers and quota allocation. Ahybrid ANP-VIKOR method in fuzzy environment applied first with 16criteria to evaluate suppliers. Then, a fuzzy multi-objective mathematicalmodel is used to quota allocation. Finally, the fuzzy model is solved by Tiwarimethod. An illustration with a data set from a realistic situation is presented todemonstrate the effectiveness of the proposed model.
Yalda Yahyazade; Laya Olfat; Maghsod Amiri
Abstract
Appropriate management of supply chain is one of the issues facing economic firms that affect all the organizational activities in order to produce the goods and provide the services. Consequently Supplier selection due to involvement of various qualitative and quantitative criteria such as quality, ...
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Appropriate management of supply chain is one of the issues facing economic firms that affect all the organizational activities in order to produce the goods and provide the services. Consequently Supplier selection due to involvement of various qualitative and quantitative criteria such as quality, price, flexibility and delivery times is very difficult and complex and requires accurate and appropriate tools. On the other hand today's competitive environment due to its variable nature, has added the uncertainty and ambiguity in decision-making. The problem of supplier selection is not an exception as well and it seems suitable to use the robust optimization methods in such circumstances. The mentioned method is used in this research with the goal of supplier selecting and determining the amount order of products considering all restrictions in order to minimize the costs and maximize the utility of purchase in the condition of uncertainty. In this paper, a multi-objective deterministic model is presented to solve the problem, and then the deterministic model is converted to the robust model using the scenario-based robust method and then is solved using the LP metric method so optimal amount of order is obtained from each of suppliers at any period. To determine the weight of each of suppliers, Analytical Hierarchy Process (AHP) is used as well.
Mojgan Khorasani; Abolfazl Kazemi
Abstract
This paper investigates a supplier evaluation and selection model which considers features of leagile supply chain and allocates orders to the selected suppliers. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of leagile supply ...
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This paper investigates a supplier evaluation and selection model which considers features of leagile supply chain and allocates orders to the selected suppliers. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of leagile supply chain, including the ability to respond to demands, reducing delay time and costs (which are the winning factors for being the winner of market in this supply chain), as well as considering the capacities and limitations of organizations and suppliers. The proposed model allows buyer to select several suppliers. In addition, the model is multi-products and multi-periods. Due to long time and inefficiency of exact methods for large-sized problems, in addition to Lingo software, Genetic Algorithm is used to achieve the optimum solution
