Firms with omni-channel multi-echelon distribution networks (OMDC) integrate all of their sale channels and echelons to achieve an effective matching multi-type orders a shared inventory. However, the high operational cost caused by insufficient use inventory resources unreasonable order allocation restricts sustainable development firms. To this end, joint decisions optimization (IO) (OA) are ...

We consider a multi-item two-echelon inventory system in which the central warehouse operates under a (Q,R) policy, and each local warehouse implements (S − 1, S) policy. The objective is to find the policy parameters minimizing expected system-wide inventory holding and fixed ordering costs subject to an aggregate mean response time constraint at each facility. We propose a Lagrangian heuristi...

Product perishability is a major concern of certain industrial sectors, especially the agro-food industry. This paper investigates the effect of product perishability and retailers’ stockout policy on system total cost, net profit, service level, and average inventory level in a two-echelon inventory–distribution system, and develops an approximate inventory model to these system performance me...

One area in which experimental economics methods have been used to study operations problems is supply-chain management. We survey results from a series of human experiments based on the popular beer distribution game and find cognitive limitations on the part of managers, in particular an underweighting of the supply line. We suggest mechanisms that may alleviate this bias, including sharing i...

This paper develops a method for solving the single product multi-period production-planning problem, in which the production and the inventory costs of each period arc concave and backlogging is not permitted. It is also assumed that the unit variable cost of the production evolves according to a continuous time Markov process. We prove that this production-planning problem can be Stated as a ...

In many production=distribution systems, materials !ow from one stage to another in %xed lot sizes. For example, a retailer orders a full truckload from a manufacturer to qualify for a quantity discount; a factory has a material handling system that moves full containers of parts from one production stage to the next. In this paper, we derive optimal policies for multi-stage serial and assembly...

Nowadays, there has been a growing interest in recovery options such as recycling, remanufacturing and reusing in the scope of Reverse Logistics (RL) and Closed-Loop Supply Chain (CLSC) concepts due to the environmental, economical issues and legal obligations. Due to this fact, companies should take into account the utilized recovery option while preparing both strategic planning and tactical ...

A modern distribution network design model needs to deal with the trade-offs between a variety of factors, including 1) location and associated (fixed) operating cost of Distribution Centers (DCs) as well as their contribution to total transportation cost; and 2) holding and fixed ordering costs at DCs and retail outlets, in order to minimize the costs of managing the cycle stocks. In addition,...

In this paper, a bi-objective multi-product (r,Q) inventory model in which the inventory level is reviewed continuously is proposed. The aim of this work is to find the optimal value for both order quantity and reorder point through minimizing the total cost and maximizing the service level of the proposed model simultaneously. It is assumed that shortage could occur and unsatisfied demand coul...