Demand forecasting works as a basis for operating, business and production planning decisions in many supply chain contexts. Yet, how to accurately predict the manufacturer's demand components presence of end-customer uncertainty remains poorly understood. Assigning proper order quantities suppliers thus becomes nontrivial task, with significant impact on planning, capacity inventory-related co...

Abstract— Perishable inventory constitute a large portion of the world economy and include virtually all foodstuffs, pharmaceuticals, fashion goods, electronic items, periodicals, digital goods and many more as they lose value with time due to deterioration and/or obsolescence. Retailers dealing with perishable goods have to consider the factors of short shelf life and the dependency of sales v...

This paper develops an inventory model for non deteriorating items with time dependent demand rate of production with constant inflation rate. In this model shortages are not allowed, the effect of inflation rate and delay in payments are discussed. In the study mathematical models are also derived under two different cases, i.e. Case-I the credit period is less than or equal to the cycle time ...

In a production-inventory system, the manufacturer produces the items at a rate, e.g. R, dispatches the order quantities to the customers in specific intervals and stores the excess inventory for subsequent deliveries. Therefore each inventory cycle of the manufacturer can be divided into two phases, first is the period of production, the second is when the manufacturer does not do any producti...

In many industrial environments there is a significant class of problems for which the perishable nature of the inventory cannot be ignored in developing replenishment order plans. Food is the most salient example of a perishable inventory item. In this work, we consider the periodic-review, single-location, single-product production/inventory control problem under non-stationary stochastic dem...

inventory control problem is one of the problems in decision making and management that contains non-crisp parameters in real world. economic production quantity (epq) model in fuzzy environment has been studied so far by many researchers. one of the main assumptions in all previous researches was neglecting the inventory shortage. in this research, a new multi-item epq model with fuzzy random ...

Vendor managed inventory (VMI) is an integrated approach for buyer–vendor coordination, according to which the vendor (supplier or manufacturer) decides on the appropriate buyer’s (retailer’s) inventory levels. The time value of money has not traditionally been considered in evaluating VMI supply chain’s total inventory cost in any studies up to now. Therefore, in the present study a new model ...

Full, accurate and evident information about stocks is a key factor of successful inventory management process. Effective inventory management should include a comprehensive solution, based on mathematical methods and control of current balances and software. Such solution for small businesses should be effective and should not be too expensive. The paper shows an approach to using database tec...

This paper recommends an approach on how to assess the Air Transportation System (ATS) that draws on the results in [1], and considers the 3 pillars of sustainability: economy, ecology and society. A framework has been developed to conduct sustainability studies of ATS and its sub elements separately. The framework shows the combination of Life Cycle Assessment (LCA), Life Cycle Cost Assessment...