Replenishment and lead time decisions in manufacturer–retailer chains

Hsu, Shu-Lu; Lee, Chun Chen

doi:10.1016/j.tre.2008.10.005

Cited by 47 publications

(13 citation statements)

References 19 publications

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“…They developed a genetic algorithm (GA) to find the appropriate ordering and inventory levels of the manufacturer and the buyers. Hsu and Lee (2009) studied an integrated inventory system with a single manufacturer and multiple buyers in which each buyer has the same lead time, which can be reduced with a crashing cost. Taleizadeh et al (2012) proposed a multiple products, single vendor, and multiple buyers' inventory problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Warehouse capacity sharing via transshipment for an integrated two-echelon supply chain

Feng

Moon

Ryu

2017

Transportation Research Part E: Logistics and Transportation Re

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a b s t r a c tWarehouse capacity constraint has been one obstacle to achieving the channel-wide optimal decision in inventory management. We studied an integrated inventory model consisting of a single vendor and multiple buyers with warehouse capacity sharing via transshipment. We proposed an optimal transshipment policy by developing nonlinear programming models and genetic algorithms as well as obtaining Karush-Kuhn-Tucker points. This inventory policy can significantly reduce the channel-wide cost and the performance is influenced by the consideration of fixed transshipment costs. Sensitivity analyses show that parameters have different impacts on the channel-wide cost and the performances of the algorithms.

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Section: Literature Reviewmentioning

confidence: 99%

Warehouse capacity sharing via transshipment for an integrated two-echelon supply chain

Feng

Moon

Ryu

2017

Transportation Research Part E: Logistics and Transportation Re

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“…Later many researchers developed lead time reduction inventory models under various crashing cost function and practical situations. Hsu and Lee [2] explored a single manufacturer multiple retailer integrated inventory system with the assumption of a non-increasing stair-step lead time crashing cost function. In contrast to existing inventory models, this paper considers two models that the crashing cost is an exponential function of lead time and the demand distribution follows a normal distribution and a distribution Manuscript received May 19, 2018; revised August 9, 2018.…”

Section: Introductionmentioning

confidence: 99%

An Inventory Model Involving Safety Factor When the Received Quantity Is Uncertain

Fu¹,

Song²,

Wang³

et al. 2018

JOEBM

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In practice the quantity received may not match the quantity ordered due to various reasons such as rejection during inspection, human errors in counting, damage or breakage during transportation and worker's strike, etc. Under this background, we investigate a continuous review inventory model with shortage including the case where the quantity received is uncertain, in which the lead time, safety factor, lost sales rates and order processing cost are decision in variables. The objective of this paper is to minimize the total relevant cost by simultaneously optimizing the order quantity, safety factor, lost sales rates and order processing cost. Two models are developed based on the probability distribution of lead time demand following a normal distribution and distribution free respectively. From the results of numerical example, it can be shown that, the significant savings can be achieved through the reductions of order processing cost, safety factor and lost sales rate.

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“…The underlying assumption in the above studies was that lead time could be decomposed into n mutually independent components, each with a different but fixed crash cost independent of the lead time. Recently, Hsu and Lee [19] investigated the decisions of replenishment and lead-time reduction for a single manufacturer multiple-retailer integrated inventory system with the assumption of lead time crashing cost is a non-increasing stairstep function of lead time. Later, Yang [47] developed supply chain integrated inventory model with present value and the crashing cost is determined by the length of lead time, which is polynomial form.…”

Section: Introductionmentioning

confidence: 99%