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Traditional production management approaches have paid less attention to integrate supply chain functions. Two main functions in supply chain management (i.e., production planning and distribution) are mutually dependent and important in today's real world applications. More of the time, they should be used simultaneously in an integrated manner to minimize costs in the whole chain. In this paper,...
Resource Constraint Project Scheduling Problem (RCPSP) is one of the most important problems in project scheduling and operation research and has attracted an ever growing attention. In the real world, most of the strategic goals of organizations are reached with different programs which are consisting a set of interrelated projects. Regarding to what has been said, in this paper, a model for programs...
Science development and industry progress motivate researchers to solve the problems of the real world. This paper presents a new multi-objective mathematical model on identical batch processors arranged in parallel in order to minimize three objective functions including time, cost and jobs incompatibility simultaneously. The concept of jobs incompatibility used to classify the previous studies can...
In humanitarian relief operations, especially when a disaster occurs, the transportation of both injured people to the medical centers and relief commodities to the affected area are vital. On the other hand, these disasters usually continue with a secondary disaster (e.g., Aftershocks of an earthquake) which decreases the service level of the affected area due to disruptions in the connection routes...
Since the great capacity of deoxyribonucleic acid (DNA) computing to perform parallel relation, it has magnetized attention. Rely on this property, the DNA computing can be used for solving hard problems such as NP-Complete problems. Therefore, this paper proposes a molecular algorithm to solve Vehicle Routing Problem (VRP) as an NP-hard problem. In addition, a new representation for graph in DNA...
Cross-docking is a logistics approach where products from a supplier or manufacturer can be moved directly to customers or retailers without handling or storage time. In this paper, a distribution planning problem with the cross-docking centers is taken into account. A new two-stage mathematical model is formulated to minimize total costs in the multi-echelon network for the cross-docking center location...
In recent decade, Persian banks lose a competitive power in an international banking industry because of their poor customer relationship management (CRM). Knowledge management (KM) has a significant role for implementing and improving the CRM system. This paper is carried out in two stages. The first stage finds an efficiency coefficient of KM factors on improving CRM by using a structure equation...
Nowadays there is a huge social and environmental pressure to limit the emissions of greenhouse gases (GHG), especially in transportation sector. In the traditional transportation literature, the objective was to minimize a number of vehicles and travelled distance. However, in new transportation (e.g., sustainable vehicle routing (VRP)), the economic profit is not a primary objective. This paper...
This paper considers an identical parallel machine scheduling problem when there are position-based deteriorating jobs with setup and removal times that are affected by the position-based learning effect. The aim of the problem is to minimize the sum of the total tardiness and earliness, minimize the number of tardy jobs and minimize the mean completion times. As a result, the mathematical model is...
This paper addresses a distribution center selection problem in a three-echelon supply chain including suppliers, distribution centers (DCs) and retailers. There is a set of DCs, in which some of them should be selected in each period. Due to the imperative role of the time value of money (TVM), we consider this decisive factor in the problem. Besides it is assumed that the setup cost of each DC can...
This paper presents a mixed-integer nonlinear programming model (MINLP) for a multi-period facility location-relocation problem in the presence of a line-shaped barrier, which the starting point of the barrier follows the uniform distribution function. Rectilinear metric for the distance between points is supposed. The objective function of the proposed model minimizes the cost of traveled expected...
A new framework for risk assessment analysis in manufacturing is proposed by integrating qualitative and quantitative risk analysis methods. This integrative approach brings about a comprehensive view of risk for the stakeholders using Failure Modes and Effects Analysis (FMEA) and increases the precision of the risk analysis by Discrete Event Simulation (DES). An extended FMEA worksheet, named Simulation-Based-FMEA...
This paper presents a novel mixed-integer nonlinear programming model for the group layout (GL) design of a dynamic cellular manufacturing system (DCMS). A novel aspect of this model is concurrently making the cell formation (CF) and GL decisions in a dynamic environment. Another compromising aspect of this model is the utilization of multi-rows layout to locate machines in the cells configured with...
A hub location problem appears in a variety of applications, such as airline systems, cargo delivery systems and telecommunication network design. In this paper, we consider a central mine and a number of hubs (e.g., factories) connected to a number of nodes (e.g., shops or customers) in a network. First we design the hub network, and then schedule the raw materials transportation from the central...
The Cellular Manufacturing Systems (CMS) design problem with presence of assembly operations; as in the real manufacturing environments, and so, because of the parent/child relationships for the final products, is very different to what it has been common in the literature. This paper describes the CMS design in above situation and shows its differences with common situation by comparative analysis...
A capacitated multi-facility Weber problem (CMFWP) is widely used in both theoretic and practical environments. The most studies in this field tackled the problem either by deterministic or probabilistic orientation. Nevertheless, in the real world, some parameters (e.g., demand) are usually imprecise (fuzzy) in nature. Thus, in this paper, we address the CMFWP with fuzzy demands. To solve this problem,...
In this paper, a novel mathematical model is proposed to deal with job scheduling in cellular manufacturing system considering deterioration items. First, a nonlinear integer programming is proposed then transferred to a linear one. The objective function of the proposed model is two-fold. The first part is related to production planning cost such as production cost, inventory holding cost, backordering...
In the last years, a project risk analysis has become increasingly important because it has proved to be a valuable tool, e.g., in interpreting project data provided by experimental judgments. Project risk data cannot be answered in a parametric framework easily; moreover, original risk data sizes are too small to estimate the standard deviation of risk data. When parametric modeling and theoretical...
This paper proposes a novel, bi-objective mixed-integer mathematical programming for an open shop scheduling problem (OSSP) that minimizes the mean tardiness and the mean completion time. To obtain the efficient (Pareto-optimal) solutions, a fuzzy multi-objective decision making (MODM) approach is applied. By the use of this approach, the related auxiliary single objective formulation can be achieved...
This paper considers an open shop scheduling problem that minimizes bi-objectives, namely makespan and weighted tardiness. This problem, due to its complexity, is ranked in a class of NP-hard problems. In this case, traditional approaches cannot reach to an optimal solution in a reasonable time. Thus, we propose an efficient meta-heuristic method by hybridizing a multi-objective simulated annealing...
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