MRP in a job shop environment using a resource constrained project scheduling model

One of the most difficult tasks in a job shop manufacturing environment is to balance schedule and capacity in an ongoing basis. MRP systems are commonly used for scheduling, although their inability to deal with capacity constraints adequately is a severe drawback. In this study, we show that mater...

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Bibliographic Details
Published inOmega (Oxford) Vol. 30; no. 4; pp. 275 - 286
Main Authors Rom, Walter O., Tukel, Oya Icmeli, Muscatello, Joseph R.
Format Journal Article
LanguageEnglish
Published Exeter Elsevier Ltd 01.08.2002
Elsevier
Elsevier Science Publishers
Pergamon Press Inc
SeriesOmega
Subjects
Analysis
Applied sciences
Capacity
Economic conditions
Exact sciences and technology
Job shop scheduling
Job shop scheduling Project management Capacity Optimization
Job shops
Management science
Manufacturing industry
Material requirements planning
Operational research and scientific management
Operational research. Management science
Optimization
Project management
Scheduling
Scheduling, sequencing
Studies
United States
Job shop scheduling
Capacity
Project management
Optimization
Manufacturing resource planning
Lead time
Material requirements planning
Resource allocation
Job shop
Inventory control
Scheduling
Resource management
Cost lowering
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Summary:One of the most difficult tasks in a job shop manufacturing environment is to balance schedule and capacity in an ongoing basis. MRP systems are commonly used for scheduling, although their inability to deal with capacity constraints adequately is a severe drawback. In this study, we show that material requirements planning can be done more effectively in a job shop environment using a resource constrained project scheduling model. The proposed model augments MRP models by incorporating capacity constraints and using variable lead time lengths. The efficacy of this approach is tested on MRP systems by comparing the inventory carrying costs and resource allocation of the solutions obtained by the proposed model to those obtained by using a traditional MRP model. In general, it is concluded that the proposed model provides improved schedules with considerable reductions in inventory carrying costs.
ISSN:0305-0483
1873-5274
DOI:10.1016/S0305-0483(02)00033-6