Minimum average-cost production plan in a multi-product stochastic manufacturing system

2002 ◽  
Author(s):  
S.P. Sethi ◽  
W. Suo ◽  
M.I. Taksar ◽  
H. Yan
Keyword(s):  
Average Cost ◽  
Manufacturing System ◽  
Production Plan

Optimal Vacation Policy for a Manufacturing Facility Using Retrial System

2010 ◽  
Vol 447-448 ◽  
pp. 316-320
Author(s):  
Wee Meng Yeo ◽  
Xue Ming Yuan
Keyword(s):  
Average Cost ◽  
Manufacturing System ◽  
Probability Generating Function ◽  
Compound Poisson Process ◽  
System Size ◽  
Production Facility ◽  
Manufacturing Facility ◽  
Multiple Vacation ◽  
Long Run ◽  
Supplementary Variables

We consider a manufacturing system which takes vacation and subjects to breakdown. Items arrive to the production facility according to a compound Poisson process. Using supplementary variables we determine the probability generating function (p.g.f) of the system size. Under the Long Run Average Cost formulation, we show that the optimal vacation policy is either single or multiple vacation policy.

Diffusion Approximation for a Controlled Stochastic Manufacturing System with Average Cost Minimization

1995 ◽  
Vol 20 (4) ◽  
pp. 895-922 ◽  
Author(s):  
Elena V. Krichagina ◽  
Sheldon X. C. Lou ◽  
Suresh P. Sethi ◽  
Michael I. Taksar
Keyword(s):  
Diffusion Approximation ◽  
Average Cost ◽  
Manufacturing System ◽  
Cost Minimization

scholarly journals Joint Optimization Approach of Maintenance and Production Planning for a Multiple-Product Manufacturing System

2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
Lahcen Mifdal ◽  
Zied Hajej ◽  
Sofiene Dellagi
Keyword(s):  
Production Planning ◽  
Manufacturing System ◽  
Analytical Models ◽  
Maintenance Cost ◽  
Optimization Approach ◽  
Production Plan ◽  
Total Production ◽  
Maintenance Strategy ◽  
Product Manufacturing ◽  
Multiple Product

This paper deals with the problem of maintenance and production planning for randomly failing multiple-product manufacturing system. The latter consists of one machine which produces several types of products in order to satisfy random demands corresponding to every type of product. At any given time, the machine can only produce one type of product and then switches to another one. The purpose of this study is to establish sequentially an economical production plan and an optimal maintenance strategy, taking into account the influence of the production rate on the system’s degradation. Analytical models are developed in order to find the production plan and the preventive maintenance strategy which minimizes sequentially the total production/inventory cost and then the total maintenance cost. Finally, a numerical example is presented to illustrate the usefulness of the proposed approach.

Simulation and Optimization of the Camshaft Production Line Based on Petri Net

2010 ◽  
Vol 139-141 ◽  
pp. 1506-1509
Author(s):  
Hong Jun Wang ◽  
Ting Dong ◽  
Jing Zhang ◽  
Hai Yan Wang
Keyword(s):  
Petri Net ◽  
Production Line ◽  
Manufacturing System ◽  
Production Plan ◽  
Operation Condition ◽  
Simulation And Optimization ◽  
Equipment Operation ◽  
Discrete Manufacturing System ◽  
Discrete Manufacturing ◽  
Practical Factors

With the development of scientific and technology, the automotive industries competition is becoming more and tougher. The camshaft production system is an important part of the engine manufacturing. The production line productivity and characteristic are affected by many practical factors of the workshop. It’s a complex discrete manufacturing system somehow. In this paper, the production line model is presented based on Petri net. Then the mapping relationship is established between the Petri net model and the eM-Plant discrete system model. The discrete simulation model of production line is constructed by using eM-plant software. Based on the simulation, the reasonable simulation experimental are carried out with the determined simulation boundary and objectives under the different input conditions such as orders, the working stations' processing time, the working stations’ fault distribution, and the production line layout. The simulation experimental results are discussed on condition that the shifts, equipment operation condition, production line capacity and WIP in detail. These results could provide the theory basis for decision-making of the production plan of the automotive industries.

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