Saeed Mousakhani; Saeed Mousakhani; Mohamad Sadegh Sangari
Abstract
Integrated production-distribution planning is one of the main issues in supply chain management that plays an important role in reducing supply chain costs. In addition, choosing optimal location of distribution centers can facilitate achieving this goal. On the other hand, environmental laws and regulations ...
Read More
Integrated production-distribution planning is one of the main issues in supply chain management that plays an important role in reducing supply chain costs. In addition, choosing optimal location of distribution centers can facilitate achieving this goal. On the other hand, environmental laws and regulations established by governments impose constraints to production and distribution activities and make necessary the adoption of green supply chain approach more than ever. In this paper, a novel model is developed for integrated location-production-distribution planning in a three-echelon green supply chain consisting of manufacturing plants, distribution centers, and customers with multiple products and multiple time periods. The objective function includes minimization of the total supply chain costs as wll as CO2 emissions throughout the chain. Also, the customer demand and service level are expressed as fuzzy Z-number in order to obtain the reliability of the values from the experts. The applicability and efficiency of the proposed model is demonstrated through a real case which, considering two indexes of customer service level and green production and distribution. In order to solve the proposed model, GAMS software package is used. Results show satisfactory performance of the proposed model in reducing costs in the green supply chain.
Behnam Vahdani
Abstract
Today, intense competition in global markets has forced companies to design and manage of supply chains in a better way. Since the role of three factors: location, routing and inventory is important to continue the life of a supply chain so, integration of these three elements will create an efficient ...
Read More
Today, intense competition in global markets has forced companies to design and manage of supply chains in a better way. Since the role of three factors: location, routing and inventory is important to continue the life of a supply chain so, integration of these three elements will create an efficient and effective supply chain. In this study, we investigate the problem of supply chain network design that including routing and inventory problem consist of flow allocation, vehicle routing between facilities, locating distribution centers and also consider the maximum coverage for respond to customer demand. Proposed mathematical model is a nonlinear mixed integer programming model for location-routing-inventory problem in the four-echelon supply chain by considering the multiple conflicting goals of total cost, travel time and maximum coverage. In order to solve the proposed model, three meta-heuristic algorithms (MOPSO, MSGA_II and NRGA) has been used. The accuracy of mathematical model and proposed algorithms are evaluated through numerical examples
hadis drikvand; seyyed mohammad hajimolana
Abstract
Environmental concerns have spurred an interest in studying green supply chain. Nowadays, governmental and non-governmental organizations consider environmental management as a strategic requirement having numerous benefits. Therefore, they effort to increase customers' satisfactory and market share ...
Read More
Environmental concerns have spurred an interest in studying green supply chain. Nowadays, governmental and non-governmental organizations consider environmental management as a strategic requirement having numerous benefits. Therefore, they effort to increase customers' satisfactory and market share considering external factors like environmental consequences in addition to internal factors. In this paper, a bi-objective mixed integer programming model is developed to identify the optimal location for manufacturers and disassembly sites in a green supply chain network design. This paper addresses the role of the reliability of facilities and vehicles to ensure effective stream among supply chain network, the objective functions are defined as total cost minimization, and total co2 emissions minimization. Besides, uncertainties on the network design are investigated through two-stage stochastic programming. with respect to the fact that the model is non-linear and bi-objective, at first, an approach is presented to linearize it and then the proposed bi-objective mathematical model is solved as a single-objective one by compromise programming method. The effectiveness of the proposed model is demonstrated by using of a numerical example derived from a real case.
Hamid Shahbandarzadeh; Mohammad Hossein Kabgani
Abstract
This paper focused on locating ATMs problem. At first, this paper aims to identify effective factors in selecting ATMs appropriate locations. After selecting potential locations, optimal locations are determined through mathematical modeling. In this paper, effective factors to determine potential locations ...
Read More
This paper focused on locating ATMs problem. At first, this paper aims to identify effective factors in selecting ATMs appropriate locations. After selecting potential locations, optimal locations are determined through mathematical modeling. In this paper, effective factors to determine potential locations are weighted through Fuzzy AHP. Finally, linear allocation technique with multi-objective approach is used to determine ATMs locations at Bushehr city. After literature review, 46 effective factors are identified and then, based on experts' opinion are categorized in 6 groups of demographic, economic - social factors, competitive – commercial factors, public utility (infrastructure and proximity) factors, investment factors and political - legal factors. Results from Fuzzy AHP show that demographic factors are the most important factors among others. Final results show that each of these six categories, can have different effects on decision makers.
