A Mathematical Programming Model and Genetic Algorithm for a Multi-Product Single Machine Scheduling Problem with Rework Processes
In this paper, a multi-product single machine scheduling problem with the possibility of producing defected jobs, is considered. We concern rework in the scheduling environment and propose a mixed-integer programming (MIP) model for the problem. Based on the philosophy of just-in-time production, minimization of the sum of earliness and tardiness costs is taken into account as the objective function. It is possible to obtain optimal solutions for small-sized problems using the MIP model by operation research solvers. Due to the complexity of the problem, exact algorithms are inefficient for medium and large-sized problems. For large-sized problems, an adapted genetic algorithm (GA) is used to solve them. The implemented GA is compared to the optimal solutions generated by an optimization solver, and to the solutions generated by dispatching rules procedure. Computational experiments are performed to illustrate the efficiency of the adapted GA algorithm.
a mathematical programming model and genetic algorithm for a multi-product single machine scheduling problem with rework processes
in this paper, a multi-product single machine scheduling problem with the possibility of producing defected jobs, is considered. we concern rework in the scheduling environment and propose a mixed-integer programming (mip) model for the problem. based on the philosophy of just-in-time production, minimization of the sum of earliness and tardiness costs is taken into account as the objective fu...متن کامل
A Mathematical Model of a Multi-Criteria Parallel Machine Scheduling Problem: a Genetic Algorithm (RESEARCH NOTE)
With increasing competition in the business world and the emergence and development of new technologies, many companies have turned to integrated production and distribution for timely production and delivery at the lowest cost of production and distribution and with the least delay in delivery. By increasing human population and the increase in greenhouse gas emissions and industrial waste, in...متن کامل
A parameter-tuned genetic algorithm for vendor managed inventory model for a case single-vendor single-retailer with multi-product and multi-constraint
This paper develops a single-vendor single-retailer supply chain for multi-product. The proposed model is based on Vendor Managed Inventory (VMI) approach and vendor uses the retailer's data for better decision making. Number of orders and available capital are the constraints of the model. In this system, shortages are backordered; therefore, the vendor’s warehouse capacity is another limitati...متن کامل
Retracted: Using genetic algorithm approach to solve a multi-product EPQ model with defective items, rework, and constrained space
The Economic Production Quantity (EPQ) model is often used in the manufacturing sector to assist firms in determining the optimal production lot size that minimizes overall production-inventory costs. There are some assumptions in the EPQ model that restrict this model for real-world applications. Some of these assumptions are (1) infinite space of warehouse, (2) all of the pr...متن کامل
A multi-objective genetic algorithm (MOGA) for hybrid flow shop scheduling problem with assembly operation
Scheduling for a two-stage production system is one of the most common problems in production management. In this production system, a number of products are produced and each product is assembled from a set of parts. The parts are produced in the first stage that is a fabrication stage and then they are assembled in the second stage that usually is an assembly stage. In this article, the first...متن کامل
دوره 5 شماره None
صفحات 49- 60
تاریخ انتشار 2015-05
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