This study considers a reliable location – inventory problem for a supply chain system comprising one supplier, multiple distribution centers (DCs), and multiple retailers in which we determine DCs location, inventory replenishment decisions and assignment retailers to DCs, simultaneously. Each DC is managed through a continuous review (S, Q) inventory policy. For tackling real world conditions...

One of the key elements in production planning hierarchy is master production scheduling. The aim of this study is to evaluate and compare thirteen alternative MPS development methods, including multi-objective optimization as well as twelve heuristics, in different operating conditions for multi-product single-level capacity-constrained production systems. We extract six critical criteria from...

 Normally, the real-world inventory control problems are imprecisely defined and human interventions are often required to solve these decision-making problems. In this paper, a realistic inventory model with imprecise inventory costs have been formulated for deteriorating items under trade credit policy within the economic production quantity (EPQ) framework. We assume that the supplier would...

In this paper we study the relations between multiclass BCMP-like service stations and generalized stochastic Petri nets (GSPN). Representing queuing discipline with GSPN models is not easy. We focus on representing multi-class queuing systems with different queuing disciplines by defining appropriate finite GSPN models. Note that queuing discipline in general affects performance measures in mu...

We study a multicomponent, multiproduct production and inventory system in which individual components are made to stock but final products are assembled to customer orders. Each component is produced by an independent production facility with finite capacity, and the component inventory is controlled by an independent base-stock policy. For any given base-stock policy, we derive the key perfor...

Queuing theory is the branch of Operations research in applied mathematics and deals with phenomenon of waiting lines. Queuing theory is concerned with the mathematical modeling and analysis of systems which provides service to random demands. In this paper, we have focused the applications of queuing theory in the field of healthcare (hospital) i.e. one of the biological paradigm. The health s...

A production inventory model is formulated for a single item. Here,demand varies with the on-hand inventory level and production price. Shortages are allowed and fully backlogged. The time gap between the decision and actual commencement of production is termed as ’preparation time’ and is assumed to be crisp/imprecise in nature. The set-up cost depends on preparation time. The fuzzy preparatio...

using the mathematic techniques such as fuzzy approach has useful outcomes for production planning in different sources. in this paper lgp1 was used to model the objectives such as: avoidance of shortage or surplus of demand, access to maximum of income, using the normal capacity of production and organizing the inventory of warehouse, within the framework of goal constraints like balancing be...

Queuing theory is the formal study of waiting in line and is an entire discipline in operations management. This article will give the reader a general background into queuing theory, its associated terminology, and its relationship to patient satisfaction. Queuing theory has been used in the past to assess such things as staff schedules, working environment, productivity, customer waiting time...

Output Queuing (OQ) and Input Queuing (IQ) are the two basic queuing strategies implemented in routers. IQ has been identified as the simplest and the most scalable. However, IQ achieves only 58.6% throughput due to the Head Of Line (HOL) blocking effect. The Virtual Output Queuing (VOQ) strategy is a proffered solution to the HOL blocking. It has been shown that VOQ can achieve a 100% throughp...