This paper studies the problem of multi-period pricing for perishable products in a competitive (oligopolistic) market. We study non cooperative Nash equilibrium policies for sellers. At the beginning of the time horizon, the total inventories are given and additional production is not an available option. The analysis for periodic production-review models, where production decisions can be mad...

This paper integrates noncyclical preventive maintenance with tactical production planning in multistate systems. The maintenance policy suggests noncyclical preventive replacements of components, and minimal repair on failed components. The model gives simultaneously the appropriate instants for preventive maintenance, and production planning decisions. It determines an integrated lot-sizing a...

This paper considers a two-level supply chain consisting of a manufacturer and two buyers. The manufacturer produces one type of products at a finite rate and replenishes them to the buyers. Each buyer’s demand is sensitive to his selling price and the backorder is allowed at the buyers. Moreover, it is assumed that the buyers delay paying for goods to the manufacturer and two types of delay in...

Signal kanban production control systems are often used in manufacturing systems with signiicant setup times where more conventional kanban systems are inappropriate. This paper analyzes signal kanban systems under demands with bounded uctuation. It is shown that such systems are stable in the sense that cumulative demand at any time trails cumulative demand by no more than a constant. We deter...

This paper addresses a multi-period, multi-product sawmill production planning problem where the yields of processes are random variables due to non-homogeneous quality of raw materials (logs). In order to determine the production plans with robust customer service level, robust optimization approach is applied. Two robust optimization models with different variability measures are proposed, wh...

In this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. A two-stage stochastic linear programming approach is used to maximize the expected profit. Decisions such as the production amount, the inventory level of finished and semi-finished product, t...

We propose evaluation approaches to multi-item base-stock inventory policies where unidirectional substitutions are allowed among part types. The problems in the paper are in the context of spare parts management and we identify two substitution cases: substitution of incoming demand and substitution of backlogged demand. This leads us to three unidirectional substitution policies, for each of ...

This paper considers a multistage serial inventory system with Markov-modulated demand. Random demand arises at Stage 1, Stage 1 orders from Stage 2, etc., and Stage N orders from an outside supplier with unlimited stock. The demand distribution in each period is determined by the current state of an exogenous Markov chain. Excess demand is backlogged. Linear holding costs are incurred at every...

Every industry always tries to provide the best service its consumers. To better consumer and optimize profit, a sustainable online-to-offline retailing strategy is proposed in this current study. Both online offline systems are considered here, i.e., service, sells products offline. Due consideration of systems, selling price also different for modes, demand particular product combined demand,...