فصلنامه مطالعات مدیریت صنعتی
پیاپی 26 (پاییز 1391)

For performance evaluation of supply chain, having a comprehensive model with reliable data is useful. This can help to improve the entire chain. In this paper a model is presented, according to the nature of network and multi-stage supply chain, that able to evaluate the performance of the entire chain in the form of a mathematical mode land using the financial, knowledge, participation and response measures of the supply chain. In the first part, Indicator sat three levels; strategic, process and operational, onsidered and survey the model verification with Factor Analysis. In the second part, Network data envelopment analysis model is used. This paper is the result of research related to supply chain of pharmaceutical companies in Tehran Stock Exchange and 115 expert sand senior executive shave been questioned as sample. There search results show that strategic level with a weight of 0.98 is the most important performance level and Process and operational levels are respectively 0.97 and 0.87 weight. 4chainsof 28 chains studied, have a complete performance and 0.43 is the lowest observed performance.

In this paper, a novel intuitionist fuzzy TOPSIS method for group decision making will be presented. In this method the preference values for an alternative on criteria and the weight values of criteria are given by experts, using linguistic values of trapezoidal intuitionist fuzzy numbers, and weights of decision makers’ opinions are unknown. In proposed method, expected values and weighted averaging operator for trapezoidal intuitionist fuzzy numbers are used to induce the weight values of criteria and decision makers’ opinions.Then an algorithm for ranking alternatives is presented under trapezoidal intuitionist fuzzy environment. Finally, using a numerical example, the efficiency of new extended TOPSIS method is investigated.

In this paper, a nonlinear multi objective mathematical model for crashing the PERT network is presented. The main purpose of this model is minimizing the pessimistic time of critical activities by allocating more budget. In fact, this model indicates how the budget is allocated among critical activities. The results show that decreasing the pessimistic of critical activities lead to decreasing the time and variance of project completion. This model increases the probability of project completion on time scheduling. A genetic algorithm is use to solve the nonlinear model.

One of the solutions for solving cutting stock problem in different industries, such as sheet metal, lumber, glass, paper and textile, is applying, Particle Swarm Optimization to minimize the waste of rawmaterials. This article is intended to solve two-dimensional cutting problem. In these problems, larger rectangular plates, divided into smaller rectangularsegments, aim to minimizing the number of used plates or the waste of plates by considering demand. In this article PSO is used. To enhance the efficiency of lgorithm, and preventing overlap in cutting problem, the CUL algorithm is used. In order to investigate the results of algorithm, new software has been designed. This software has two ways for solving the problem. First, it ends up with optimized cutting pattern considering the number and dimension of segments and, length and width of main plate. Also, there is a possibility to give different width to software, in this case, the software gives the user the optimum cutting pattern and optimum length of main plate in addition to optimum width.

Up to now, many efforts have been done for creation of an enterprise performance measurement model by researchers and organization,nevertheless the problem is neglected performance value. The performance of functional and processes should be seen in organization at the same time. In this study retrospective research of performance was done and proposes a cross process/function oriented performances measurement model. This model able to measure both values from functional and processes performance in organization.In order to accomplish this, in the first step all process and functions in pharmaceutical industry were established according to literature review.The second step was field study with help of experts to find the most effective processes and functions. This is followed by define key factors and critical success factor with respect to every process or function from past researches.

This research investigates issues relating to facilities location which covers network design under the conditions of uncertainty and robust state. In this direction a model is developed in which lack of certainty is taken into consideration regarding parameters such as demand and various costs. Unlike the classical methods that the structure of network is predefined and is predetermined, the facilities location makes decisions with respect to the structure of the network.The discussed issue in many real and actual applications such as roads network, communication systems and etc does exist and locating the facilities and designing the main network simultaneously are considered as important factors; therefore redesigning and optimization of models which look for simultaneous solutions seem essential. There have been various strategies in the literature of uncertainty optimization. Two of the most important strategies are the “Probabilistic Optimization” and “Robust Optimization”.This article employs the robust optimization to resolve the uncertainty and the modelization arguments. Moreover using random samples, the developed model is validated and for further mathematical analysis isutilized.

Project cost estimation and actual time is one of the serious concerns of project managers. Earned Value Management is considered as a technique for answering two following questions: how long does it take to complete a project? How much does the project cost? Project Performance Evaluation can only be predicated based on previous data and knowledge in the present dealings of earned value and its future conditions and prospects would not be categorically realized.Although there are many proposed methods to solve these boundaries, there is not a method encompassing all uncertainties and future conditions. This paper aims at introducing a new method using time limits, costs and project performance in fuzzy logic to determine the earned value indexes. Risk factors are added to the Fuzzy logics in order to obtaining the precise estimation in predicting the final outcomes of the project. This paper provides a brief introduction regarding the current methods followed by investigation on Fuzzy methodology and risk factors. Finally, the offered model is proposed,defined and supported by means of an example.