scholarly journals Optimal lot-sizing policy for a failure prone production system with investment in process quality improvement and lead time variance reduction

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Sumon Sarkar ◽  
Bibhas C. Giri
Keyword(s):  
Quality Improvement ◽  
Production System ◽  
Lead Time ◽  
Variance Reduction ◽  
Lot Sizing ◽  
Process Quality ◽  
Time Variance

Investment for process quality improvement and setup cost reduction in an imperfect production process with warranty policy and shortages

2020 ◽  
Vol 54 (1) ◽  
pp. 251-266 ◽  
Author(s):  
Rekha Guchhait ◽  
Bikash Koli Dey ◽  
Shaktipada Bhuniya ◽  
Baisakhi Ganguly ◽  
Buddhadev Mandal ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Production System ◽  
Cost Reduction ◽  
Process Quality ◽  
Minimal Repair ◽  
Setup Cost ◽  
Imperfect Production ◽  
Main Target ◽  
Imperfect Production Process ◽  
Setup Cost Reduction

Cost reduction for setup and improvement of processes quality are the main target of this research along with free minimal repair warranty for an imperfect production System. This paper deals with the effect of setup cost reduction and process quality improvement on the optimal production cycle time for an imperfect production process with free product minimal repair warranty. Here the production system is subject to a random breakdown from an controlled system to an out-of-control state. Shortages are fully backlogged. The main target to minimize the total cost by simultaneously optimizing the production run time, setup cost, and process quality. A solution algorithm with some numerical experiments are provided such as the proposed model can illustrate briefly. Sensitivity analysis section is decorated for the optimal solution of the model with respect to major cost parameters of the system are carried out, and the implications of the analysis are discussed.

scholarly journals Investing in Lead-Time Variability Reduction in a Quality-Adjusted Inventory Model with Finite-Range Stochastic Lead-Time

2008 ◽  
Vol 2008 ◽  
pp. 1-13 ◽  
Author(s):  
Farrokh Nasri ◽  
Javad Paknejad ◽  
John Affisco
Keyword(s):  
Lead Time ◽  
Variance Reduction ◽  
Inventory Model ◽  
Time Variability ◽  
Defective Items ◽  
Reduction Model ◽  
Time Variance ◽  
Total Inventory ◽  
Truncated Normal ◽  
The Impact

We study the impact of the efforts aimed at reducing the lead-time variability in a quality-adjusted stochastic inventory model. We assume that each lot contains a random number of defective units. More specifically, a logarithmic investment function is used that allows investment to be made to reduce lead-time variability. Explicit results for the optimal values of decision variables as well as optimal value of the variance of lead-time are obtained. A series of numerical exercises is presented to demonstrate the use of the models developed in this paper. Initially the lead-time variance reduction model (LTVR) is compared to the quality-adjusted model (QA) for different values of initial lead-time over uniformly distributed lead-time intervals from one to seven weeks. In all cases where investment is warranted, investment in lead-time reduction results in reduced lot sizes, variances, and total inventory costs. Further, both the reduction in lot-size and lead-time variance increase as the lead-time interval increases. Similar results are obtained when lead-time follows a truncated normal distribution. The impact of proportion of defective items was also examined for the uniform case resulting in the finding that the total inventory related costs of investing in lead-time variance reduction decrease significantly as the proportion defective decreases. Finally, the results of sensitivity analysis relating to proportion defective, interest rate, and setup cost show the lead-time variance reduction model to be quite robust and representative of practice.

Multi-stage lot sizing in a serial production system

1986 ◽  
Vol 24 (3) ◽  
pp. 517-534 ◽  
Author(s):  
SHAWNEE K. VICKERY ◽  
ROBERT E. MARKLAND
Keyword(s):  
Production System ◽  
Lot Sizing ◽  
Serial Production ◽  
Multi Stage

scholarly journals Process quality improvement through collaboration in synchronized individual production companies

Procedia CIRP ◽  
2018 ◽  
Vol 67 ◽  
pp. 589-594 ◽  
Author(s):  
Hannes Elser ◽  
Christian Fimmers ◽  
Sebastian Groggert ◽  
Robert H. Schmitt ◽  
Christian Brecher
Keyword(s):  
Quality Improvement ◽  
Process Quality
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