COMPARATIVE-STUDY OF HEURISTICS FOR THE JOINT REPLENISHMENT PROBLEM

In this paper, we compare recent efficient heuristics proposed for solving the joint replenishment problem. A heuristic based on the relaxation of a nonlinear programming formulation of the problem proposed by Hariga is the most efficient heuristic for solving the joint replenishment problem in view of its speed and quality of solution

COMPARATIVE-STUDY OF HEURISTICS FOR THE JOINT REPLENISHMENT PROBLEM

In this paper, we compare recent efficient heuristics proposed for solving the joint replenishment problem. A heuristic based on the relaxation of a nonlinear programming formulation of the problem proposed by Hariga is the most efficient heuristic for solving the joint replenishment problem in view of its speed and quality of solution

Integrated Single Vendor Single Buyer Model With Stochastic Demand And Variable Lead Time

In this paper, we consider the single vendor single buyer integrated production inventory problem. We relax the assumption of deterministic demand and assume that the lead time is varying lineraly with the lot size. The lead time is composed of a lot size-dependent run time and constant delay times such as moving, waiting and setup times. A solution procedure is suggested for solving the proposed model and numerical examples are used to illustrate the benefit of integration. A sensitivity analysis is also performed to explore the effect of key parameters on lot size, reorder point, and expected total cost. (C) 2003 Elsevier B.V. All rights reserved

Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration

We develop a continuous review inventory model where lead-time is considered as a controllable variable. Lead-time is decomposed into all its components: set-up time, processing time and non-productive time. These components reflect the setup cost reduction, lot size lead-time interaction and lead-time crashing, respectively. The learning effect in the production process is also included in the processing time component of the lead-time. The finite investment approach for lead-time and set-up cost reduction and their joint optimization, in addition to the lot size lead-time interaction, introduce a realistic direction in lead-time management and control. A numerical example and a sensitivity analysis are presented using the design of experiments to investigate the effect of the model parameters and, in particular, those related to the different lead-time components on the the expected total cost

Integrated Single Vendor Single Buyer Model With Stochastic Demand And Variable Lead Time

In this paper, we consider the single vendor single buyer integrated production inventory problem. We relax the assumption of deterministic demand and assume that the lead time is varying lineraly with the lot size. The lead time is composed of a lot size-dependent run time and constant delay times such as moving, waiting and setup times. A solution procedure is suggested for solving the proposed model and numerical examples are used to illustrate the benefit of integration. A sensitivity analysis is also performed to explore the effect of key parameters on lot size, reorder point, and expected total cost. (C) 2003 Elsevier B.V. All rights reserved

Integrated Inventory Control And Inspection Policies With Deterministic Demand

In this paper, we develop integrated inventory inspection models with and without replacement of nonconforming items. Inspection policies include no inspection, sampling inspection, and 100% inspection. We consider a buyer who places an order from a supplier. When a lot is received, the buyer uses some type of inspection policy. The fraction nonconforming is assumed to be a random variable following a beta distribution. Both the order quantity and the inspection policy are decision variables. In the inspection policy involving determining sampling plan parameters, constraints on the buyer and manufacturer risks are set in order to obtain a fair plan for both parties. A solution procedure for determining the operating policies for inventory and inspection consisting of order quantity, sample size, and acceptance number is proposed. Numerical examples are presented to conduct a sensitivity analysis for important model parameters and to illustrate important issues about the developed models. (c) 2004 Elsevier Ltd. All rights reserved

Integrated Inventory Control And Inspection Policies With Deterministic Demand

In this paper, we develop integrated inventory inspection models with and without replacement of nonconforming items. Inspection policies include no inspection, sampling inspection, and 100% inspection. We consider a buyer who places an order from a supplier. When a lot is received, the buyer uses some type of inspection policy. The fraction nonconforming is assumed to be a random variable following a beta distribution. Both the order quantity and the inspection policy are decision variables. In the inspection policy involving determining sampling plan parameters, constraints on the buyer and manufacturer risks are set in order to obtain a fair plan for both parties. A solution procedure for determining the operating policies for inventory and inspection consisting of order quantity, sample size, and acceptance number is proposed. Numerical examples are presented to conduct a sensitivity analysis for important model parameters and to illustrate important issues about the developed models. (c) 2004 Elsevier Ltd. All rights reserved