INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)
Year:2009 | Volume:20 | Issue:3|Papers Count:8

Risk management process, has a prominent role in project management, due to importance of decision making, complexities of opportunities and threats occurs in projects and their consequence and taken reactions or made decisions while encountering them. This paper suggests a model for Risk Response Planning in risk management process, using cased-based decision support methods, that yield a more efficient and effective response to deal with upcoming opportunities and threats in comparison to other similar tools and models.

Statistical Process Control (SPC) charts play a major role in quality control systems, and their correct interpretation leads to discovering probable irregularities and errors of the production system. In this regard, various artificial neural networks have been developed to identify mainly singular patterns of SPC charts, while having drawbacks in handling multiple concurrent patterns. In this paper, a new compound method is proposed for automatic identification of concurrent patterns of SPC charts. First, by using a wavelet transform the complex concurrent pattern is decomposed into its underlying singular patterns, and then by implementing the Principal Component Analysis (PCA) jointly with a Probabilistic Neural Network (PNN), pattern types are identified. The results obtained from simulated data exhibited a success rate of 94.83% in recognizing concurrent multiple patterns.

This paper is a research on the ordering planning of a supply chain with one supplier, multi buyer and multi deteriorating items. Items have fixed life time and expire dates. The ordering period is taken as variable and must be computed the proposed models. The problem is studied via two different approaches; the first is the joint replenishment, based on the Hwang and Chew's model and with some new assumptions. In the case that the life time is less than the ordering period, the cost of deterioration is considered in the model.The second approach is cooperative planning. In this approach transportation cost, inventory and shortage costs are considered in the proposed model. The models are studied for both single and multi period cases. The purpose of the models is an investigation about the influence of expire date on ordering periods' lengths. The proposed models can compute these lengths and also the amounts of orders.

The presence of new environment within the late of 19th century that recognized with time speed, competition, quality and cost pushed academia to establish a new collection of systematic decision tools for effective managing industrial enterprises. In respect of this growing need Industrial Engineering was introduced as a new academic discipline in which the main educational concentration was on developing a scientific process for systematic analysis of real options under different conditions.The complexity and economics of large scale companies within the multi-nations commercial environment of those days put relatively a number of courses from various disciplines such as; mathematics, statistics and probabilities, management science, economics and general engineering on the educational package of Industrial engineering. Since this collection to suit the changing environment a number of revisions has been located so far. The main purpose of this study is to provide an integrated model for homogeneous classification of the capabilities of graduates from Iranian Industrial Engineering departments based on the market requirements.This model consequently unified a framework for revising the structure and the content of Industrial Engineering in respond to ongoing changes within managerial environment. In this paper, first, with an extensive review of the educational content evolution within Industrial Engineering, an integrated model for evaluating Iranian industrial engineers’ competencies is designated, and then the consequence expected specialties with three distinguished components of; knowledge, vision and skills were architected.Based on the proposed model, by using an Analytical Hierarchy Process, the main industrial engineers’ capabilities were recognized by; Analysis, Design, Decision Making, Planning and Control abilities.The validation of the model with a 95% level of confidence comes from a Delphi survey within the academia. As a result is shown that in the field of industrial engineering the abilities, of analysis, design and decision-making are more important than the abilities of planning and control.

According to researches, one of the productivity barriers among many organizations is assembly line balancing problem, which needs scientific models to be solved. This paper examines the effect of line balancing on the functioning of assembly line in two sections. In the first section, after studying the theoretic bases and reviewing the literature, we have discussed the assembly concepts, different types of assembly line balancing problems, assumptions, optimizing criteria and methods of solving the problems. In the second section, two heuristic algorithms, ranked positional weight and longest candidate rules (LCR), have been used to balance the assembly line of Urmia Tractor Manufacturing Company. By comparing the criteria of cycle time, line balancing efficiency, smoothness index, balance delay, cost saving, portion of fixed cost for each product, margin of safety and unused capacity for the two states before and after balancing, the effect of line balancing on the function of assembly line has been defined.

Borda count is a well-known social choice method, and is frequently used for group decision making problems. However it does not consider the optimism/pessimism view of the director, which has a great effect on the group decisions. Therefore in the present study, we extend the Borda method by using the Ordered Weighted Averaging (OWA) operator to consider the risk attitudinal characteristics. The new approach, entitled Borda-OWA, solves the group decision making problem in an intelligent procedure. It is then applied on two real case studies of forest management and projects ranking. The outcomes show that the Borda-OWA operator makes more soft and sensitive results by using the director’s risk attitudes, guided by the fuzzy linguistic quantifiers. The new results are also examined by sensitivity analysis, which shows the importance of selecting the suitable quantifier. It is shown that the original Borda is a special case of the Borda-OWA approach, indicating only the neutral view of the director.Because of the uncertainty in selecting the quantifier, we define a new measure which considers both the expected value and the variance of the combined goodness measure for each alternative. By using this measure the Borda-OWA model will give more robust decisions to the stakeholders whose optimism degrees are different than that of the group director.

Bus network design is an important problem in public transportation. The main step to this design, is determining the number of required terminals and their locations. This is an especial type of facility location problem, a large scale combinatorial optimization problem that requires a long time to be solved. Branch & bound and simulated annealing methods have already been used for solving Urban Bus Terminal Location Problem(UBTLP) that first method requires much time and second method doesn’t reach desired solution. In this paper, a Genetic Algorithm is suggested for solving the problem. The main advantages of proposed algorithm are reaching better solution and taking less time. The demonstrated results have shown that proposed Genetic Algorithm can be an efficient and confident approach for solving UBTLP. For verification of proposed methodology, two illustrative practical examples are solved and obtained outcomes are reported.