Journal article
Multi-product lot scheduling with backordering and shelf-life constraints
Omega (Oxford), v 41(3), pp 510-516
Jun 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper, we revisit the economic lot scheduling problem (ELSP), where a family of products is produced on a single machine, or facility, on a continual basis. Our focus is on the determination of a feasible production schedule, including the manufacturing batch size of each item. We assume that total backordering is permissible and that each of the products has a limited post-production shelf life. Several studies examining this problem have suggested a rotational common cycle approach, where each item is produced exactly once every cycle. To ensure schedule feasibility, we resort to the technique of reducing individual production rates and allow the flexibility of producing any item more than once in every cycle, in conjunction with appropriate timing adjustments. In order to solve this more generalized model, which is NP hard, we suggest a two-stage heuristic algorithm. A numerical example demonstrates our solution approach.
► We examine the classical ELSP with the possibility of backordering. ► Model treats the production rates within a product family as decision variables. ► A heuristic algorithm is developed for solving our model.
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Details
- Title
- Multi-product lot scheduling with backordering and shelf-life constraints
- Creators
- Changyuan Yan - Drexel UniversityYi Liao - Southwestern University of Finance and Economics, Department of Information Systems and Supply Chain Management, School of Business Administration, 555 Liutai Avenue, Chengdu, Sichuan Province 611130, ChinaAvijit Banerjee - Drexel University
- Publication Details
- Omega (Oxford), v 41(3), pp 510-516
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000311472600002
- Scopus ID
- 2-s2.0-84866720908
- Other Identifier
- 991019168327904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Management
- Operations Research & Management Science