Dynamic lot sizing problem is one of the significant problem in industrial units and it has been considered by  many researchers. Considering the quantity discount in  purchasing cost is one of the important and practical assumptions in the field of inventory control models and it has been less focused in terms of stochastic version of dynamic lot sizing problem. In  this paper, stochastic dyn...

Planning academic conferences is often a difficult, tedious and time-consuming task. This is because there are many possible designs that can be considered and created. Additionally many of the associated tasks are currently performed manually in an inefficient manner when they could easily be automated. The planning process is particularly important because high quality sessions can lose thei...

Chen [2009] proposed the Target Set Selection (TSS) problem: • Given a connected undirected graph G = V; E . For each i ∈ V, there is a threshold, gi, which is between 1 and degree(i). All nodes are inactive initially. • Select a subset of nodes, the target set, and they become active immediately. • After that, in each step, an inactive node i becomes active if at least gi of its neighbors are ...

The inconsistency of judgments in the fuzzy Analytic Hierarchy Process (AHP) is a crucial issue. To make the appropriate decision, the inconsistency in decision maker's (DM) judgments needs to be eliminated or reduced. This paper proposes two mathematical models to deal with inconsistency in Fuzzy AHP. In the first model, the DM's judgments are modified where the preference order of the DM's ju...

Large-scale mathematical models are built, managed and applied by people with different cognitive skills. This poses a challenge for the design of a multi-view architecture of a system that accommodates these differences. A primary objective of mathematical modeling is providing insights into problem behavior, and there are many constituencies who require different views for different questions...

In this paper, we will discuss two special classes of mathematical programming models with fuzzy random variables. In the first model, a linear programming problem with fuzzy decision variables and fuzzy random coefficients is introduced. Then an algorithm is developed to solve the model based on fuzzy optimization method and fuzzy ranking method. In the second model, a fuzzy random quadratic s...

A partial-order plan (POP) compactly encodes a set of sequential plans that can be dynamically chosen by an agent at execution time. One natural measure of the quality of a POP is its flexibility, which is defined to be the total number of sequential plans it embodies (i.e., its linearizations). As this criteria is hard to optimize, existing work has instead optimized proxy functions that are c...

0377-2217/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.ejor.2009.09.008 * Corresponding author. Address: Escuela Politécn Ferrándiz y Carbonell, 2, 03801 Alcoy, Alicante, Spain +34 96 652 85 85. E-mail addresses: [email protected] (J. Mula), dpe [email protected] (M. Díaz-Madroñero), evicens@ This paper presents a review of mathematical programming models for supply chain producti...

Examination Timetable Problem (ETP) is NP–Hard combinatorial optimization problem. It has received tremendous research attention during the past few years given its wide use in universities. ETP can be defined as assignment of courses to be examined, candidates to time periods and examination rooms while satisfying a set of constraints which may be either hard or soft. Several methods have been...

We study in this lecture the literature on mixed integer programming models and formulations for a specific problem class, namely deterministic production planning problems. The objective is to present the classical optimization approaches used, and the known models, for dealing with such management problems. We describe first production planning models in the general context of manufacturing p...