[HTML][HTML] Integrated production-distribution planning in a reverse supply chain via multi-objective mathematical modeling; case study in a high-tech industry
S Rezaie Moghadam, O Yousefi… - … in Production and …, 2018 - jpom.ui.ac.ir
S Rezaie Moghadam, O Yousefi, M Karbasian, B Khayambashi
Research in Production and Operations Management, 2018•jpom.ui.ac.irThis article presents an integrated production-distribution plan in a reverse supply chain via
multi objective mathematical modeling in a high-tech environment. The objectives of the
proposed model include 1) minimizing total costs including production, maintenance,
inventory and manpower costs, 2) maximizing customer and supplier satisfaction, and 3)
maximizing the quality of manufactured products. The supply chain consists of several
suppliers, a producer, customers, a repair center to repair the customer's goods and a repair …
multi objective mathematical modeling in a high-tech environment. The objectives of the
proposed model include 1) minimizing total costs including production, maintenance,
inventory and manpower costs, 2) maximizing customer and supplier satisfaction, and 3)
maximizing the quality of manufactured products. The supply chain consists of several
suppliers, a producer, customers, a repair center to repair the customer's goods and a repair …
Abstract
This article presents an integrated production-distribution plan in a reverse supply chain via multi objective mathematical modeling in a high-tech environment. The objectives of the proposed model include 1) minimizing total costs including production, maintenance, inventory and manpower costs, 2) maximizing customer and supplier satisfaction, and 3) maximizing the quality of manufactured products. The supply chain consists of several suppliers, a producer, customers, a repair center to repair the customer's goods and a repair and maintenance center for repairing or disposing products that have passed their warranty period. Among the contributions of this research, we can consider such issues as considering the quality of products manufactured, returned or supplied from suppliers in order to realize the win-win relationship with suppliers, using the maximum capacity of suppliers and supply of parts by each reconstruction center. In order to validate the model, it is solved for some examples using Lingo software and LP metric method. Introduction: In reverse supply chain, what is addressed is recycling and reconstructing the products which are spending final stage of their life cycle. In this regard, after gathering and inspecting the returned products, they are partitioned in to recyclable and non-recyclable (scrap) products (Mirzapour et. al, 2013). Aggregate production planning is a process that determines the optimal level of production and stock inventory to meet the demands for the product in a long term period which considering the capacity limitation of the means and resources (Gholamian et al, 2015). In this research, investigation is regarding designing and solving a mathematics model for aggregate production planning in reverse supply chain in a high-tech industry. High-tech products are usually made up of chemical, mechanical, and electronic components. Inspection of the products in the supply chain of latter industry is of demolition type, that is, in case where the quality of the products is not confirmed by the customer, they are in masse retuned to the supplier. The returned products are either demolished in the re-construction units or delivered to the producer after re-construction. Also, in case of the non-usage of the products by the customer after technical warranty expiration, they are dispatched to the repair and maintenance unit and after undergoing correctional measures, they are re-dispatched to the customer or producer. The aim of the present research is to conduct an investigation into the performance manner of the producer in making decision regarding producing the afore-mentioned products. In order to achieve objectives, the producer can manufacture the required products on his/her own plant. Accordingly, he/she should decide on considering the capacity of available means and facilities, production expenditures, and the quality of the produced commodity, what measure of products to produce at regular working hours, and what amount to produce at non-regular (over-time) working hours. In his/her aggregate production planning, he/she might also decide on out-sourcing the production of a portion of his/her required products to outside suppliers. Such planning becomes of utmost importance since he/she should decide- while considering such requisite indices and criteria as expenditure, quality level, and priority- what percentage of the products to delegate to what supplier. Along this line in the proposed model, a win-win relation with the suppliers is deemed essential. Thus, in the model offered here, the optimization of the customer’s satisfaction is taken into account so that- by considering customer’s prioritization- the shortage …
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