In the last few years, inventory modeling with reverse logistics has received more attention from both academic world and industries. Most of existing works in literature believed that newly produced products remanufactured have same quality. However, many industries, customers do not consider as good new ones. Therefore, this study develops a model multiple production remanufacturing batches (...

This work develops a novel two-stage fuzzy optimization method for solving the multiproduct multi-period (MPMP) production planning problem, in which the market demands and some of the inventory costs are assumed to be uncertainty and characterized by fuzzy variables with known possibility distributions. Some basic properties about the MPMP production planning problem are discussed. Since the f...

Changing economic conditions make the selling price and demand quantity more and more uncertain in the market. The conventional inventory models determine the selling price and order quantity for a retailer’s maximal profit with exactly known parameters. This paper develops a solution method to derive the fuzzy profit of the inventory model when the demand quantity and unit cost are fuzzy numbe...

The objective of this paper is to develop an inventory model with fuzzy inflation and multi variant demand rate. A new demand rate introduced which depends on price, quality and time. Planning horizon is random in nature for manufacturing company. Production rate is taken to be flexible in nature which depends on the technology frequency, capital investment and its elasticity and number of labo...

This paper develops Fuzzy inventory model to determine the relevant profit maximizing decision variable values. The model proposed is based on individual profits of vendor and buyer and joint total profit of them which finds out optimal ordering quantity, selling price and shipment policies. Shortages are allowed for both of them. Production rate, ordering quantity, shortage and holding cost of...

A Multi-item inventory model with increasing holding cost, under available limited storage space and total investment cost is considered in this paper. The varying holding cost is considered to be a continuous function of production quantity. A demand dependent on unit cost has been considered and this unit cost is taken in fuzzy environment. The model is solved using Kuhn-Tucker conditions met...

Classical deterministic inventory models consider the demand rate to be either constant or time-dependent but independent from the stock status. However, for a certain type of inventory, the demand rate may be in-fluenced by the stock level. Also in many real-life problems, some products such as fruits, vegetables, phar-maceuticals and volatile liquids continuously deteriorate to evaporation, o...

In crisp production inventory problem, let q, a, b, d, R and r be the quantity produced per cycle, the holding cost, production cost, production quantity per day, the total demand quantity and the demand quantity per day, respectively. We consider three fuzzification methods. Firstly, we fuzzify q, a, b, d, R and r to triangular fuzzy numbers. Secondly, we fuzzify d and r to triangular fuzzy nu...