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A Lot Sizing and Scheduling Approach on Non-Identical Parallel Machines for Cement Grinding Process Considering Process-Specific Characteristics
Integrating the lot sizing and scheduling problems for improving capacity utilization in process industries is crucial. In order to deal with tlris problem realistically and to obtain applicable schedules, it is a prerequisite to consider the typical characteristics of the industry under considerati...
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Published in: | International journal of supply and operations management 2023-07, Vol.10 (3), p.396-416 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Integrating the lot sizing and scheduling problems for improving capacity utilization in process industries is crucial. In order to deal with tlris problem realistically and to obtain applicable schedules, it is a prerequisite to consider the typical characteristics of the industry under consideration. From tlris point of view, in tlris study, the lot sizing and scheduling problem in cement grinding, a multi-product, multi-period optimization problem with non-identical parallel machines, is addressed by considering the unique and industry-specific characteristics of the process. Besides applicability, it is aimed to create schedules tirat minimize total costs, including inventory holding, production, electricity, and lost sales. A lot sizing and scheduling model (LSM) based on the General Lot Sizing Problem (GLSP) and a capacity control model (CCM) derived from LSM has been developed for the considered problem with these objectives. The proposed approach based on the cyclical running of LSM and CCM has been applied for one year using the real data of a firm operating in the cement industry. The performance of tlris approach Iras been evaluated by comparing it with the firm's realized performance during tirat year. As a result, the proposed approach has significantly reduced inventory holding costs by 47.51%, production during setups by 62.54%, production after setups by 1.49%, and electrical energy by 8.65%. |
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ISSN: | 2383-1359 2383-2525 |
DOI: | 10.22034/IJSOM.2023.109501.2449 |