Managing quality improvement, setup cost and lead time reductions in a just-in-time integrated inventory model

Author(s):  
M. Parveen ◽  
T.V.V.L.N. Rao
2019 ◽  
Vol 53 (1) ◽  
pp. 39-57 ◽  
Author(s):  
Bikash Koli Dey ◽  
Biswajit Sarkar ◽  
Mitali Sarkar ◽  
Sarla Pareek

This paper develops a sustainable integrated inventory model for maximizing profit with a controllable lead time, discrete setup cost reduction, and consideration of environmental issues. Contrary to the available literature, this paper considers a discrete setup cost for the vendor, thus making the integrated model sustainable. The customer’s demand is assumed to be selling-price dependent to increase the number of sales, and the lead time demand follows a Poisson distribution. The integrated model is used to optimized the total shipment number, volume of shipments, safety factor, investments, selling-price, and probability of moving between the “in-control” to “out-of-control” states. An algorithm is developed to obtain the numerical results. Numerical examples and sensitivity analyses are given to illustrate the model.


2021 ◽  
Author(s):  
Novrianty Rizky ◽  
Ivan Darma Wangsa ◽  
Wakhid Ahmad Jauhari ◽  
Hui Ming Wee

Abstract This study develops a sustainable integrated inventory model for controllable lead time with defective items, errors in inspection, and variable lead-time. The research investigates the effect of controlling lead time and capital investment in the setup cost. We assume that the buyer receives a lot size that may contain some defective items with a known defective probability. The buyer’s inspector conducts a 100% quality inspection and may incorrectly classify a non-defective item as a defective item (type one (I) error), or incorrectly classify a defective item as a non-defective item (type two (II) error). The mathematical inventory model considering carbon emission cost is developed, and the solution procedure is designed to derive the optimal solution. Finally, numerical examples and sensitivity analysis are given to illustrate the results.


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