Paper Info
Title
The performance of workload rules for order acceptance in batch chemical manufacturing
Abstract
We investigate the performance of workload rules used to support customer order acceptance decisions in the hierarchical production control structure of a batch chemical plant. Customer order acceptance decisions need to be made at a point in time when no detailed information is available about the actual shop floor status during execution of the order. These decisions need therefore be based on aggregate models of the shop floor, which predict the feasibility of completing the customer order in time. In practice, workload rules are commonly used to estimate the availability of sufficient capacity to complete a set of orders in a given planning period. Actual observations in a batch chemical manufacturing plant show that the set of orders accepted needs to be reconsidered later, because the schedule turns out to be infeasible. Analysis of the planning processes used at the plant shows that workload rules can yields reliable results, however at the expense of a rather low capacity utilization. In practice this is often unacceptable. Since, solving a detailed scheduling problem is not feasible at this stage, this creates a dilemma that only can be solved if we can find more detailed aggregate models than workload rules can provide.
Year
DOI
Venue
2000
https://doi.org/10.1023/A:1008999002145
J. Intelligent Manufacturing
Keywords
Field
DocType
Batch process industries,workload control,capacity planning,order acceptance
Mathematical optimization,Chemical industry,Production control,Job shop scheduling,Workload,Capacity utilization,Operations research,Capacity planning,Chemical plant,Dilemma,Engineering,Management science
Journal
Volume
Issue
Citations 
11
2
1
PageRank 
References 
Authors
0.36
1
2
Name
Order
Citations
PageRank
WENNY H. M. R AA Y MAKERS110.36
Jan C. Fransoo214015.31