International Journal of Industiral Engineering & Producion Research
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International Journal of Industrial Engineering & Production Research - Journal articles for year 2011, Volume 22, Number 3Yektaweb Collection - https://yektaweb.comen2011/9/10Designing a Single Stage Acceptance Sampling Plan Based on the Control Threshold Poli
http://www.iust.ac.ir/ijieen/browse.php?a_id=316&sid=1&slc_lang=en
<p> <em>In this research, a new control policy for the acceptance sampling problem is introduced. Decision is made based on the number of defectives items in an inspected batch. The objective of the model is to find a constant control level that minimizes </em><a name="OLE_LINK4"></a><a name="OLE_LINK3"><em>the total costs, including the cost of rejecting the batch, the cost of inspection and the cost of defective items. The optimization is performed by approximating the negative binomial distribution with Poisson distribution and using the properties of binomial distribution. </em></a><em>A solution method along with numerical demonstration on the application of the proposed methodology is presented. Furthermore, the results of sensitivity analysis show that the proposed method needs a large sample size . </em></p>Mohammad Saber FallahNezhadAn Integrated Queuing Model for Site Selection and Inventory Storage Planning of a Distribution Center with Customer Loss Consideration
http://www.iust.ac.ir/ijieen/browse.php?a_id=317&sid=1&slc_lang=en
<p> <table cellspacing="0" cellpadding="0" width="100%"><tbody><tr><td><p> Discrete facility location, </p><p> Distribution center, </p><p> Logistics, </p><p> Inventory policy, </p><p> Queueing theory, </p><p> Markov processes, </p></td></tr></tbody></table><i>The distribution center location problem is a crucial question for logistics decision makers. The optimization of these decisions needs careful attention to the fixed facility costs, inventory costs, transportation costs and customer responsiveness. In this paper we study the location selection of a distribution center which satisfies demands with a M/M/1<strong> </strong>finite queueing system plus balking and reneging. The distribution center uses one for one inventory policy, where each arrival demand orders a unit of product to the distribution center and the distribution center refers this demand to its supplier. The matrix geometric method is applied to model the queueing system in order to obtain the steady-state probabilities and evaluate some performance measures. A cost model is developed to determine the best location for the distribution center and its optimal storage capacity and a numerical example is presented to determine the computability of the results derived in this study </i><i>. </i></p>E. TeimouryDesign of Distributed Optimal Adaptive Receding Horizon Control for Supply Chain of Realistic Size under Demand Disturbances
http://www.iust.ac.ir/ijieen/browse.php?a_id=320&sid=1&slc_lang=en
<p> <table cellspacing="0" cellpadding="0" width="100%"><tbody><tr><td><p> supply chain network </p><p> receding horizon control demand move suppression term </p><p> </p></td></tr></tbody></table><i>Supply chain networks are interconnection and dynamics of a demand network. Example subsystems, referred to as stages, include raw materials, distributors of the raw materials, manufacturers, distributors of the manufactured products, retailers, and customers. The main objectives of the control strategy for the supply chain network can be summarized as follows: (i) maximize customer satisfaction, and (ii) minimize supply chain operating costs. In this paper, we applied receding horizon control (RHC) method to a set of large scale supply chains of realistic size under demand disturbances adaptively. Also </i><i>in order to </i><i /><i>increase the </i><i /><i>robustness of </i><i /><i>the system </i><i>, we added a move suppression term to cost function </i><i>. </i></p>A.A. JalaliGenetic and Improved Shuffled Frog Leaping Algorithms for a 2-Stage Model of a Hub Covering Location Network
http://www.iust.ac.ir/ijieen/browse.php?a_id=321&sid=1&slc_lang=en
<p> <table cellspacing="0" cellpadding="0" width="100%"><tbody><tr><td><p> Hub covering location problem, Network design, </p><p> Single machine scheduling, Genetic algorithm, </p><p> Shuffled frog leaping algorithm </p><p> </p></td></tr></tbody></table><i>Hub location problems (HLP) are synthetic optimization problems that appears in telecommunication and transportation networks where nodes send and receive commodities (i.e., data transmissions, passengers transportation, express packages, postal deliveries, etc.) through special facilities or transshipment points called hubs. 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, the hub network is designed, then, a raw materials transportation from a central mine to the hubs (i.e., factories) is scheduled. In this case, we consider only one transportation system regarded as single machine scheduling. Furthermore, we use this hub network to solve the scheduling model. In this paper, we consider the capacitated single allocation hub covering location problem (CSAHCLP) and then present the mixed-integer programming (MIP) model. Due to the computational complexity of the resulted models, we also propose two improved meta-heuristic algorithms, namely a genetic algorithm and a shuffled frog leaping algorithm in order to find a near-optimal solution of the given problem. The performance of the solutions found by the foregoing proposed algorithms is compared with exact solutions of the mathematical programming model </i><i>. </i></p>R. Tavakkoli-MoghaddamAn Optimal NPV Project Scheduling with Fixed Work Content and Payment on Milestones
http://www.iust.ac.ir/ijieen/browse.php?a_id=322&sid=1&slc_lang=en
<p> <table cellspacing="0" cellpadding="0" width="100%"><tbody><tr><td><p> Project scheduling </p><p> Net present value </p><p> </p></td></tr></tbody></table><i>We consider a project scheduling problem with permitted tardiness and discrete time/resource trade-offs under maximum net present value objective. In this problem, a project consists of a set of sequential phases such that each phase contains one or more sub-projects including activities interrelated by finish-start-type precedence relations with a time lag of zero, which require one or more renewable resources. There is also a set of unconstrained renewable resources. For each activity, instead of a fixed duration and known resource requirements, a total work content respect to each renewable resource is given which essentially indicates how much work has to be performed on it. This work content can be performed in different modes, i.e. with different durations and resource requirements as long as the required work content is met. Based on the cost of resources units and resource requirements of each activity, there is a corresponding cash flow for the activity. Each phase is ended with a milestone that corresponds to the phase income. We prove that the mode corresponding to the minimum possible duration of each activity is the optimal mode in this problem. We also present a simple optima scheduling procedure to determine the finish time of each activity </i><i>. </i></p>M. Ranjbar Complex Integrated Supply Chain Planning with Multiple Modes Supply, Production and Distribution by ELECTRE Method
http://www.iust.ac.ir/ijieen/browse.php?a_id=323&sid=1&slc_lang=en
<p> <table cellspacing="0" cellpadding="0" width="100%"><tbody><tr><td><p> Strategic programming, Complex supply chain, Lean, Production programming, Suppliers selection, </p><p> ELECTRE </p></td></tr></tbody></table><i>This paper represents a model of strategic programming with limited resources in a complex supply chain. The main goal of the proposed model is to increase efficiency and effectiveness of the supply chain with respect to income increases and cost decreases. Using special objective functions, has guaranteed the lean supply, production, distribution and suppliers' selection strategies. Furthermore, it can use for production programming in the supply chain. Moreover, customer satisfaction has also been perceived, by using minimization objective functions of shortage amount and restrictions of maximum allowed shortage. In this model, objective functions have been defined in a way, which directs the supply chain to the lean. Finally, after determining strategies according to objective functions and constraints, the optimal strategies using multi-criteria decision making - ELECTRE process- have been chosen </i><i>. </i></p>M KarbasianA Comprehensive Mathematical Model for the Design of a Dynamic Cellular Manufacturing System Integrated with Production Planning and Several Manufacturing Attributes
http://www.iust.ac.ir/ijieen/browse.php?a_id=324&sid=1&slc_lang=en
<p> <table cellspacing="0" cellpadding="0" width="100%"><tbody><tr><td><p> Dynamic cellular manufacturing systems, </p><p> Mixed-integer non-linear programming, </p><p> Production planning, Manufacturing attributes </p><p> </p></td></tr></tbody></table><i>This paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (DCMS) based on production planning (PP) decisions and several manufacturing attributes. Such an integrated DCMS model with an extensive coverage of important design features has not been proposed yet and incorporates several manufacturing attributes including alternative process routings, operation sequence, processing time, production volume of parts, purchasing machine, duplicate machines, machine depot, machine capacity, lot splitting, material flow conservation equations, inflation coefficient, cell workload balancing, budget constraints for cell construction and machine procurement, varying number of formed cells, worker capacity, holding inventories and backorders, outsourcing part-operations, warehouse capacity, and cell reconfiguration. The objective of the integrated model is to minimize the total costs of cell construction, cell unemployment, machine overhead and machine processing, part-operations setup and production, outsourcing, backorders, inventory holding, material handling between system and warehouse, intra-cell and inter-cell movements, purchasing new machines, and machine relocation/installation/uninstallation. A comprehensive numerical example taken from the literature is solved by the Lingo software to illustrate the performance of the proposed model in handling the PP decisions and to investigate the incorporated manufacturing attributes in an integrated DCMS </i><i>. </i></p> N. JavadianFactors Influencing Target Market Criteria: A Survey Conducted in Industries at Vitthal Udyognagar in Anand District of Gujarat State, India
http://www.iust.ac.ir/ijieen/browse.php?a_id=325&sid=1&slc_lang=en
<p> <i>For any organization sound marketing strategy and quality assurance play vital role in the growth of the organization. The price, quality and service, service centers, friendly attitude, Discounts on sales, esthetics, store location and appearance, ease of operations, guarantees and warranties, adopting new ideas, and flexible payments terms were considered to study the perceptions of the respondents. The ultimate aim is to uphold the turnover of the organization and to create good market penetration of the goods produced in highly competitive business world </i><i>. </i></p>T.B. Pankhania