Scheduling a multi-stage production system with startup delays
OmegaPublished 1 January 1978
JM Mogg, P. E. Bigham
Citations24
SJR quartileQ1
SJR score2.31
SNIP2.20
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
The problem treated is that of multi-stage scheduling as affected by the interdependence of successive stages. An algorithm is developed which incorporates startup delays as analytical functions of cycle times and production rates at adjacent stages. This is accomplished in part by imposing integer multiple restrictions on the relationship between the cycle times at adjacent stages. Total cost is then minimized for a given set of integer multiples.
Keywords
Decision SciencesEngineeringBusiness, Management and Accounting
Management ScienceOptimal Policies for a Multi-Echelon Inventory Problem
1,278 Citations2004A. J. Clark, Herbert E. Scarf
Later in these notes I will describe the authors' collaboration on the multiechelon inventory problem in the spring of 1959, and describe the influence of Ralph Gomory and Ray Fulkerson on the development of combinatorial optimization.
Management ScienceOptimal Policies for a Multi-Echelon Inventory Problem
1,259 Citations1960A. J. Clark, Herbert E. Scarf
Management ScienceEconomic Lot Size Determination in Multi-Stage Assembly Systems
211 Citations1973Wallace B. Crowston, Michael Wagner +1 more
This work considers the optimal lot size problem for multi-stage assembly systems where each facility may have many predecessors but only a single successor, and it is proven that the optimal lots size at each facility is an integer multiple of the lot size at the successor facility.
A I I E TransactionsThe Economic Lot Sizes in Multistage Production Systems
64 Citations1970Hamdy A. Taha, Ronald W. Skeith
A I I E TransactionsScheduling in a Multistage Production System with Set-up and Inventory Costs
52 Citations1972Paul A. Jensen, Hameed A. Khan
Management ScienceJob-Shop Lot Release Sizes
29 Citations1968George Schussel
In those cases where management is already using an EOQ method for determining lot release sizes, the input data and system required for the implementation of ELRS is basically similar and therefore the new and improved analysis can be substituted at relatively minor inconvenience to the user.
Journal of the Operational Research SocietyOptimizing a Multi-Stage Production Process
6 Citations1963Adin Bryn Thomas
Two procedures are given for determining the optimum batch sizes, i.e. the batch sizes giving the lowest total for the set-up and investment costs.