فهرست مطالب

International Journal of Industrial Engineering and Productional Research
Volume:22 Issue: 2, Jun 2011

  • تاریخ انتشار: 1390/05/02
  • تعداد عناوین: 8
|
  • Iman Nosoohi, Seyed Nader Shetab-Boushehri Page 83
    Selection of appropriate infrastructure transportation projects such as highways, plays an important role in promotion of transportation systems. Usually in evaluation of transportation projects, because of lack of information or due to long time and high expenditures needed for gathering information, different effective factors are ignored. Thus, in this research, regarding multi criteria nature of transportation projects selection and using fuzzy logic, an appropriate conceptual framework for ranking and selecting transportation projects is proposed. Also, unlike the previous researches, weve applied a fuzzy inference system (FIS) to account value of each project with respect to each criterion, in the proposed methodology. The FIS helps us to set rule-based systems for paying attention to expert's experience and professional knowledge in decision making. The proposed methodology is explained in detail through an applicable example. Weve considered most common criteria including effect of transportation project on traffic flow, economical growth and environment beside budget constraint, in the descriptive example
  • Saeed Ramezani, Azizollah Memariani Page 91
  • Nicholas Olenev, Naser Mollaverdi Page 99
    This paper presents a normative balance mathematical model of regional economy that contains a lot of unspecified parameters which are not defined directly by the data of economic statistics. A method for estimation of the model parameters by application of parallel computations on multi-processors systems is presented. It is determined the unknown parameters of economic model by indirect way, comparing time series for macro indexes calculated by model with statistical time series for these indexes. Use of the method is illustrated by the parameter estimation of a macroeconomic regional model by statistical data of Vyatka Region of Russia. The each production sector shadow money stock grows due to sale of shadow final product to households and as intermediate product to other sectors. Identified model is used for estimation of the Regional Government economic politics.
  • Behin Elahi, Seyed Mohammad Seyed-Hosseini, Ahmad Makui Page 107
    Supplier selection is naturally a complex multi-objective problem including both quantitative and qualitative factors. This paper deals with this issue from a new view point. A quantity discount situation, which plays a role of motivator for buyer, is considered. Moreover, in order to find a reasonable compromise solution for this problem, at first a multi-objective modeling is presented. Then a proposed fuzzy compromise programming is utilized to determine marginal utility function for each criterion. Also, group decision makers’ preferences have taken into account and the weight of each criterion has been measured by forming pair-wise comparison matrixes. Finally the proposed approach is conducted for a numerical example and its efficacy and efficiency are verified via this section. The results indicate that the proposed method expedites the generation of compromise solution.
  • Meysam Zareiee, Abbas Dideban, Ali A. Orouji Page 115
    This paper presents a method to manage the time in a manufacturing system for obtaining an optimized model. The system in this paper is modeled by the timed Petri net and the optimization is performed based on the structural properties of Petri nets. In a system there are some states which are called forbidden states and the system must be avoided from entering them. In Petri nets, this avoidance can be performed by using control places. But in a timed Petri net, using control places may lead to decreasing the speed of systems. This problem will be shown on a manufacturing system. So, a method will be proposed for increasing the speed of the system without using control places.
  • Abbas Saghaei, Hoorieh Najafi Page 123
    Six Sigma is a well- established approach to improve the capability of business processes in order to gain satisfaction of customers. The performance assessment of a given process is essential to some phases of six sigma methodology. So far, different indicators are used to demonstrate the performance of a process, while many organizations tend to report their organizational performance level. Unfortunately there have been few methods on calculating overall performance. This paper introduces a quantitative model that is formulated by focusing on process features. In addition, a number of numerical examples illustrate the performance of our proposed method in comparison to other methods.
  • Mona Ahmadi Rad, Farid Khoshalhan Page 127
    In this paper, an inventory model for two-stage supply chain is investigated. A supply chain with single vendor and single buyer is considered. We assume that shortage as a backorder is allowed for the buyer and the vendor makes the production set up every time the buyer places an order and supplies on a lot for lot basis. With these assumptions, the joint economic lot size model is introduced and the minimum joint total relevant cost and optimal order quantity and optimal shortage quantity are obtained for both the buyer and the vendor at the same time. Numerical example is given and then Sensitivity analysis is performed to study the effects of changes in the parameters on optimum joint total relevant cost and optimal order quantity and optimal shortage quantity
  • Iman Nosoohi, Naser Mollaverdi Page 135
    A key issue for manufacturing firms is planning for outsourcedcomponents. In this research, we have considered a manufacturer in aMake-to-Order production environment who has to outsource aspecial component from a set of suppliers. One selling season isconsidered and the manufacturer faces uncertain demand during theselling season. A good strategy for the manufacturer to balance bothholding and lost sale costs is to initiate capacity reservation contractswith his suppliers. Thus, unlike the previous researches we havepresented a mathematical model based on option mechanism that willhelp the manufacturer to select appropriate suppliers and orderallocation, simultaneously. The considered option mechanism has atwo part contract fee structure (option price and exercise price) and itis at the foundation of practical contracts used by different industries.A numerical example is used to illustrate the model and to investigatehow option mechanism improves manufacturer's expected profit incomparison with the situation without applying the option mechanism