فهرست مقالات Make to order

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  1 - A Multi-objective Mixed Model Two-sided Assembly Line Sequencing Problem in a Make –To- Order Environment with Customer Order Prioritization
  Masoud Rabbani Leyla Aliabadi Hamed Farrokhi-Asl
  10.22094/joie.2018.680.1436
  Mixed model two-sided assembly lines (MM2SAL) are applied to assemble large product models, which is produced in high-volume. So, the sequence planning of products to reduce cost and increase productivity in this kind of lines is imperative. The presented problem is tac چکیده کامل

  Mixed model two-sided assembly lines (MM2SAL) are applied to assemble large product models, which is produced in high-volume. So, the sequence planning of products to reduce cost and increase productivity in this kind of lines is imperative. The presented problem is tackled in two steps. In step 1, a framework is developed to select and prioritize customer orders under the finite capacity of the proposed production system. So, an Analytic Network Process (ANP) procedure is applied to sort customers’ order based on 11 assessment criteria. In step 2, a mathematical model is formulated to determine the best sequence of products to minimize the total utility work cost, total idle cost, tardiness/earliness cost, and total operator error cost. After validation of the presented model using GAMS software, according to the NP-hard nature of this problem, a genetic algorithm (GA) and particle swarm optimization (PSO) are used. The performance of these algorithms are evaluated using some different test problems. The results show that the GA algorithm is better than PSO algorithm. Finally, a sign test for the two metaheuristics and GAMS is designed to display the main statistical differences among them. The results of the sign test reveal GAMS is an appropriate software for solving small-sized problems. Also, GA is better than PSO algorithm for large sized problems in terms of objective function and run time. پرونده مقاله
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  2 - Capacity price decisions, a manufacturing yield management perspective
  M Modarres J Nazemi
  This paper focuses on formulating capacity-price trade off problem in Yield Management for manufactur-ing industry by drawing motivation from the remarkable success of Yield Management (YM) implementation in airlines. In the current practice, there is no alternative and چکیده کامل

  This paper focuses on formulating capacity-price trade off problem in Yield Management for manufactur-ing industry by drawing motivation from the remarkable success of Yield Management (YM) implementation in airlines. In the current practice, there is no alternative and procedure for the manufacturer, as well as cus-tomers to take advantage of using the unfulfilled capacity in discounted offers. The authors present a frame-work for customer segmentation and lead-time demand management to change standard production and ca-pacity planning problem to Yield Management problem. For a planning period of T, the authors formulate the model with the objective of optimizing both price and capacity utilization factors, simultaneously. They de-velop an innovative two-stage dynamic programming model to help practitioners to using the benefit of a dy-namic model with reasonable computational effort. To formulate the problem in a general framework, the au-thors devise a demand model with an independent probability function structure. The authors also identify some important challenges and devise a set of rules to assist decision makers in manufacturing. The parame-ters of the model may be supported by sales and typical production planning data base. پرونده مقاله