Journal of Operational Research in its Applications
Year:2015 | Volume:12 | Issue:3 (46)|Papers Count:8

Recovery of used products is receiving much attention recently due to growing environmental concerns. In this paper, we address the carbon footprint based on problems in closed-loop supply chain where returned products are collected from customers. These returned products can either be disposed or be remanufactured to be sold as new ones again. Here, we formulate a comprehensive closed-loop model for the logistics planning considering profitability and ecological goals. In this way, we can achieve the ecological goal reducing the overall amount of CO2 emitted from journeys. Moreover, the profitability criterion can be supported in the cyclic network with the minimum costs and maximum service level. To validate the model a numerical experiment is worked out.

Performance measurement of supply chain is one of the key goals of supply chain management. Although in previous research, positive effects of standardization systems were mentioned, no definite method of measuring and priority setting on the effectiveness of chain process were provided up to now. The present research is an attempt to present a new approach through which performance improvement of each stage of supply chain is measured via national standardization system implementation and ranked regarding their effectiveness rate. The methodology of this method is in such a way that, first via an Analytic Hierarchy Process (AHP) method, the importance rate and feature of each process of supply chain is obtained, then the performance improvement rate of supply chain processes are determined via national standardization system. Finally, through combining the obtained results, supply chain processes are ranked based on their effectiveness implemented via national standardization system. In order to validate the suggested approach, the case study of national standardization system of Iran was conducted on poultry supply chain and the positive results of employing it on chain process were identified. The applicability of this approach can be generalized to other standardization systems and chains.

Ranking of the stores and updating information in this field based on optimal and powerful store image in the mind of customer is an effective step in identifying capabilities and capacities of stores and causes values for doers in this network. Store image is manifested in convenience, sales persons, promotions, facilities, store atmosphere, services, institutional factors and product itself. In this paper, based on these dimensions and with a sample size of 250 customers, from selected retail stores in Isfahan, these stores has been ranked. More ever, for specifying the importance of the dimensions, the combination of selected experts’ ideas of these stores has been used. In this regards, the group AHP technique has been used. Results show that Isfahan City Center complex was ranked first, Kowsar markets were ranked second and Refah convenience stores were ranked third.

Because of the crucial role that suppliers have in achieving supply chain goals, the Problem of allocating orders to suppliers in a supply chain is one of the most important activities of Purchasing Managers. In this paper, by studying the theoretical literature, the influence indicators in select the supplier will be reconnaissance and refinement. Then, using linear allocation Method, these indicators are prioritized and by using the method of Asgharpour, Cardinal weights of these indicators have achieved.in Continue, the multi-objective programming model for determining the orders of suppliers according to constraints and objectives of the study has been designed And for solve it, the Weighted fuzzy multi-objective programming model has used. Assuming that the decision maker is not satisfied with the responses that obtained, Arikhan developed method by taking the weighted index and Preferences of the decision maker has used until finally, the decision maker will achieve the desired level in intended objectives and fuzzy constraints and specify the orders to the suppliers.

Locating of service centers, such as hospitals have several considerable costs. Therefore, an efficient comprehensive locating regarding to several practical conditions, can help designers and different urban planners. In this paper, a mathematical programming model is proposed such that the demands of several areas are considered at three levels-general, professional, and full professional- for 10 years planning horizon. The construction costs of several hospitals are reported. The proposed model determines the optimal structure of the problem such as location, type, exact capacity of each hospital. A case study in Isfahan province is studied. Several analyses illustrate the efficiency of the proposed model in order to find an efficient solution for the considered problem.

Commercialization plays an important role in bringing to market Knowledge-Based companies Products to generate economic benefits. The aim of this research is priorities effective factors on commercialization of products in knowledge-based companies of incubators centres of Iran north Regions the by the use of FAHP techniques. Along with achieving this goal, short review on the subjective literature related to the existing research was used from 12 numbers of experts and connoisseur in the field. The research result demonstrates that technology factors are the most important criteria in order to commercialization of products. Also, Among the Sub-factor of proficiency of management, timely innovative technology, customer needs, and governments supporting from the perspective of experts have earned the highest degree of importance.

In performance evaluation, having a set of alternative solutions from a set of selection when the resources are limited, seems necessary. This is important since in the case of existing multiple inputs and outputs the structure of DEA let the researchers the chance of aggregation optimization in relation to aggregation of inputs. Here, we give two examples regarding the necessities of limited resources. In these cases evaluation and selection are performed with Data Envelopment Analysis (DEA) models in the framework of a linear programming problem.

In this paper we deal with a problem of three-level location-inventories with the correlated demand and Justifiability of stock out. In this model we seek to minimize the overall supply chain costs, including costs of facility location, transportation and stock. As the problems is in the field of NP-Hard two meta-heuristic algorithm including Genetic Algorithm (GA) and Simulated Annealing (SA) is proposed. The proposed algorithms are applied to several numerical problems which indicate the better performance of the GA method with respect to SA in terms of objective function, but the SA method has a better performance in terms of computation time.