Modified production switching heuristics for aggregate production planning

The Production Switching Heuristic (PSH) developed by Mellichamp and Love [ Management Science 24, 1242–1251] has been suggested as a more realistic, practical and intuitively appealing approach to aggregate production planning (APP). In this paper, the PSH has been modified to present a more sophis...

Full description

Saved in:
Bibliographic Details
Published inComputers & operations research Vol. 22; no. 5; pp. 531 - 541
Main Authors Nam, Sang-jin, Logendran, Rasaratnam
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.05.1995
Elsevier Science
Pergamon Press Inc
Subjects
Applied sciences
Exact sciences and technology
Heuristic
Inventory control, production control. Distribution
Operational research and scientific management
Operational research. Management science
Operations research
PASCAL
Production planning
Studies
Production management
Heuristic method
Planning
Online AccessGet full text

Cover

More Information
Summary:The Production Switching Heuristic (PSH) developed by Mellichamp and Love [ Management Science 24, 1242–1251] has been suggested as a more realistic, practical and intuitively appealing approach to aggregate production planning (APP). In this paper, the PSH has been modified to present a more sophisticated open grid search procedure for solving the APP problem. The effectiveness of this approach has been demonstrated by determining a near-optimal solution to the classic paint factory problem using a personal computer based application written in THINK PASCAL. The performance of the modified production switching heuristics is then compared in the context of the paint factory problem with results obtained by other prominent APP models including the linear decision rule, parametric production planning, and PSH to conclude that the modified PSH offers a better minimum cost solution than the original PSH model.
ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/0305-0548(94)00034-6