2024-03-28T19:08:30Z
https://aie.ut.ac.ir/?_action=export&rf=summon&issue=6998
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
Measuring Supply Chain Flexibility using Fuzzy AHP and Fuzzy TOPSIS (Case study: Clothing Industry)
M.
Nojavan
M.
Hashemifar
E.
Teimury
Flexibility is one of the most important indicators of a supply chain .A flexible supply chain in the face of market changes and customer needs, must be responsive to the changes and needs, to be able to attract customers in the a competitive marketplace. Being aware of the flexibility of a supply chain helps managers to solve problems and overcome deficiencies and increase the competitive advantages. Supply chain flexibility has a hierarchical structure consisting of four dimensions: sourcing flexibility, operating system Flexibility, distribution flexibility and information system flexibility. The purpose of this paper is to provide measurement of supply chain flexibility, using a combination of two methods, fuzzy AHP and fuzzy TOPSIS, with a case study. Results show that the operating system flexibility is the most important dimension among the other dimensions. In addition, it is concluded that taking the information system flexibility into account will increase the overall flexibility.
Supply Chain
Supply chain flexibility
Fuzzy AHP
fuzzy topsis
2014
08
23
1
10
https://aie.ut.ac.ir/article_51779_aca7086256bf558ea2533de89b8829b9.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
Capacitated Multi-depot Vehicle Routing Problem with Inter-depot Routes
M.
Setak
S.
Jalili Bolhassani
H.
Karimi
B.
Ghorbani
In this paper, we study the multi-depot vehiclerouting problem with inter-depot routes, in which the vehicles can replenish atintermediate depots. Vehicles leave the origin depot with load on-board andserve customers until out of load. They may visit an intermediate depot toreplenish and finally return to the origin depot, completing their route. Weinitiate a mathematical mixed integer programming model for this problem. Theobjective of the problem is to find routes for vehicles at a minimal cost in termsof total travel cost and replenishments cost at intermediate depots, withoutviolating the capacity constraints of the vehicles. The solution to the problemis obtained through CPLEX solver in commercial software GAMS 23.5, GeneticAlgorithm and Tabu Search algorithms. Computational results indicate theeffectiveness of the proposed algorithms in terms of solution time and qualityof results.
Multi-depot vehicle routing problem
Inter-depot route
Intermediate depot
Replenishment
Genetic Algorithm (GA)
Tabu Search (TS)
2014
08
23
11
18
https://aie.ut.ac.ir/article_51780_c141f11873552e365377412c9e18e488.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
Optimal Location of Passive Defense Facilities through Game Theory
M.
Ghandehari
R.
Mousavizadeh
In this article, a game in which terrorists and the state government are the players is considered. On the one hand, terrorists try to attack major cities and impose damages (loss in the state’s point of view), on the other hand, the state tries to reduce damages through establishing the optimal number of facilities that are also optimally located. Furthermore, allocating of fixed facilities in order to decrease the destructions caused by terrorist attacks is studied. Simultaneous attacks to a number of cities are also examined. To achieve the optimal number of facilities, prediction cost and budget are considered to be the constraints. Finally, according to the police of Iran, an example is designed and solved using the model.
Facility location
Terrorist
Game theory
2014
08
23
19
32
https://aie.ut.ac.ir/article_51781_34f6cdc62da0943e1f60601ce21b22f7.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
A location Model for Blood Donation Camps with Consideration of Disruption
M.
Zendehdel
A.
Bozorgi-Amiri
H.
Omrani
Blood supply chain management is one of the mainchallenges in healthcare system. Optimal locationof blood donation camps is one of the key factors in optimizing the bloodsupply chain. Disruption in location of blood donation camps because ofdisasters will have a negative impact on the entire supply chain. Thispaper develops a generalized network optimization model for the complex supplychain of human blood, that consists of blood donation camps, collection sites,disposal sites as well as points of demand and astochastic programming formulation for the location of blood donationcamps with unreliable facilities is presented.This model determines the location of blood donation camps and the number oftransfused blood units taken under different scenarios between the componentsof supply chain. A sampling-based algorithm called sample average approximationalgorithm is used to approximately solve this model and present thecomputational results.
Blood supply chain management
Location
Blood donation camps
Disruption
2014
08
23
33
43
https://aie.ut.ac.ir/article_51782_71c7a2a6d22cc8b31e432eb37a936b52.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
A Model to Solve Project Scheduling and Staff Assignment Problems
E.
Mehmanchi
Sh.
Shadrokh
The allocation of human resources to project activities in order to schedule them is one of the closest states to the actual conditions of scheduling problems. But regarding the fact that this problem belongs to the class of Np-hard problems; so far the exact methods have only been able to solve the small size problems. In this study, the renewable resources are humans in a way that every staff with multiple skills is only able to satisfy one of activities’ skill requirements at a specific time. In this paper, defining the efficiency degrees for the staff, a mathematical programming model is presented for simultaneous solving of the two problems. Since this problem belongs to Np-hard problems, a meta-heuristic differential evolution algorithm is developed for solving real-world cases. The results prove the efficiency of the algorithm in simultaneous solving of project scheduling and human resources allocation problems.
Project scheduling
Human resource allocation
Efficiency
Meta-heuristic algorithm
2014
08
23
45
54
https://aie.ut.ac.ir/article_51783_96db7e35e883568c3633b586cbd90225.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
A Simulation-optimization Approach for Replenishment Planning and Shelf Space Allocation in Retail Industry under Zone- and Stock-dependent Demand
E.
Ghazavi
M. M.
Lotfi
M. H.
Abooie
M. S.
Fallah Nezhad
Asimulation-optimization approach is proposed for replenishment planning andshelf space allocation. The customers’ demand is divided into fixed andvariable demand. Each customer follows a given path while shopping in thestore. By dividing the store space into several zones and calculating therelated substantial and random utilities, an analytical equation is proposedfor the probability of zone visits. Due to the complexity of the proposedequation, a simulation method is used to evaluate the customers’ movements andpredict the variable demand. A profit-based integer-programming model is thenformulated for the case problem that needs the output demand of thesimulation phase. However, the optimal values of some decision variables shouldbe available through simulation. Therefore, a simulation-optimization algorithmis iteratively run since a pre-determined small deviation from the expectedprofit goal is achieved. Finally, the numerical results are reported for asmall-sized problem.
Retailing
shelf space allocation
Replenishment planning
Random utility model
Optimization
simulation
2014
08
23
55
62
https://aie.ut.ac.ir/article_51784_e72108a83cee87589e865c5a69d6473a.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
Change Point Estimation in the Mean of Polynomial Profiles under Drift
M.
Aminnayeri
B.
Mohammadi
M.
Ayoubi
In this paper, drift change point estimation in the mean of polynomial profiles is considered. For this purpose, the proposed change point estimator is computed using maximum likelihood approach. Performance of the proposed estimator is evaluated using Monte Carlo simulations when T2 control chart issues an out-of-control signal. Simulation results show that the performance of the proposed estimator improves when the magnitude of shifts increases. Also, the desirable performance of the proposed estimator is clear in all range of shifts.
Change point estimation
Drift change
Maximum likelihood approach
Polynomial profiles
Statistical Process Control
2014
08
23
63
70
https://aie.ut.ac.ir/article_51785_5dabbde645bbb97568c259984f2bbefc.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
An Expert System for Identification of Forecasting Model for Time Series
M.
Lotfi
H.
Razavi
Identifications andanalysis of time series are time consuming, based on trial and error and highlydependent on expert judgments. This is mainly due to the presence of variousmodels for forecasting time series, as well as introducing new techniques foranalysis and predictions. In this paper, expert system structure is used toreplace traditional methods of model identifications for time series. Firstly,several search engines are defined and analytical methods are specified. Next,the knowledge base is developed such that a proper model can be assigned toeach data set. The goodness of fit is then evaluated by mathematical indices.Repeating the process and modifying the responses to account for uncertainsituations, will provide a set of models to make the final decision. Lastly,the performance of the proposed expert system is verified by a series of sampledata as a case study and the efficiency of the system is approved.
Expert system
forecasting
time series
Forecasting error
2014
08
23
71
82
https://aie.ut.ac.ir/article_51786_8223837521a5d5b4f6a44d3cd78201d9.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
Forecasting Effects of Scenarios of Subsides Removal on Residential Electricity Consumption by Artificial Neural Networks
F.
Barzinpour
S.
Karimi
The increasing consumption of electricity in Iran is one of the greatest concerns of the government. Using the subsidy-based pricing system is one of the main reasons of improper pattern of residential electricity consumption that has imposed great cost over the government due to the increased number of consumers and their improper way of consuming electricity. In this paper, we analyze the factors that affect residential electricity demand using artificial neural network (ANN) and predict the amount of electricity consumption in 2006 (the end of the year in which subsides are being removed) by definition of five different price scenarios.
The per-capita residential electricity consumption is considered as a dependent variable of the model .Electricity price, GDP per capita, macroeconomic fluctuations and a variable representing weather temperatures are used as explanatory factors.
The proposed model has a good explaining capability (R=0.996) and with predicting independent variables up to 2016, the dependent variable were predicted using procedures like time series and ARIMA. The achieved results show that the price factors have limited role in defining the pattern of residential electricity consumption. So small changes in electricity price will not reduce the electricity consumption and committing scenarios with gradual changes in price will not lead to the reduction of electricity consumption. Therefore, it is necessary for the government to commit scenarios with significant increase of prices in order to correct the pattern of residential electricity consumption; otherwise, the electricity demand will increase uncontrollably due to the increasing population and consumption.
Scenario building
Artificial Neural Network
forecasting
subsidies
electricity consumption
2014
08
23
83
90
https://aie.ut.ac.ir/article_51787_891a8ed812a4a46726e17dd1736e3e0f.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
A Scenario-Based Model for Redundancy Allocation with Choice of Redundancy Strategies
A.A.
Eslami
M.
Seyed-esfahani
M.A.
Farsi
The redundancy allocation problem can be described as selecting the components and system configuration in order to optimize some objective function(s) without violating the system constraints. Operating conditions are not constant in many advanced engineering systems. Mostly, in the engineering applications selection, the number of redundancy components must be balanced among the constraints (cost, space, weight etc.) and the improve system reliability. In the presented model, Optimum number of redundancy components obtained by considering the working conditions and constraints in the series-parallel systems. In this model, the number of redundancy components establishing by maximizing the reliability of the system in all scenarios. Finally, for better understanding, a numerical example is presented.
reliability
Redundancy allocation
Hot and warm standby
2014
08
23
91
98
https://aie.ut.ac.ir/article_51788_443b58bc98ca2f3ccf21b80e20793bb8.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
Business Continuity Management in Iran- A Survey Research
Y.
Maboudian
K.
Rezaie
In today’s turbulent world, the continuity of criticalactivities in the event of disruptions, and also fast recovery and return tobusiness as usual, are vital for sustainable success of companies. Maintainingcontinuous delivery of critical business processes in the event of disruptions isa matter of business continuity. Business Continuity Management System (BCMS)is concerned with the development, maintaining and improving the continuity ofcritical business functions in the face of disruptive events. This paperinvestigates the business continuity management, its definitions and historicalevolution and presents a summary of a survey results on Business ContinuityManagement trends in three distinct industry sections in Iran, namely,automotive, petroleum and chemical products and food products.
Business continuity
Business continuity management system
Historical trends
Disruptions
Iran industries
survey
2014
08
23
99
110
https://aie.ut.ac.ir/article_51789_374cfb911fcfcfdb96848ee5a4293285.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
Application of Value Stream Mapping for Waste Reduction in Make-to-order Environment (An Action Research in a Commercial Printing Company)
Kh.
Sadeghi
M.
Aghdasi
This article discusses the use of Value Stream Mapping(VSM) in a make-to-order production environment. According to this tool, apractical study carried out about the way of implementation of leanmanufacturing in a commercial printing company in an action research basis. Theaim of using VSM as a drawing tool of current value stream is to investigatethe ways of process improvement and reducing waste. In this study, aftermapping the current state value stream for making waste measurement, a detailedroot-cause analysis was carried out and various improvement proposals has beenidentified based on the principles of lean manufacturing especially thecontinuous flow and low level of work in process and final goods inventory.Because of the importance of waste measurement in different phases of leanimplementation in commercial printing companies as low volume high mixproduction environments, a dedicated deficiency measure was developed.
Lean printing
Value stream mapping
waste
Overall equipment deficiency (OED)
2014
08
23
111
121
https://aie.ut.ac.ir/article_51790_cda4503af8feb1179e43e08cc5ef6daa.pdf
Advances in Industrial Engineering
J. Ind. Eng.
2014
48
Special Issue
Joint Scheduling and Available-to-Promise calculation in Make-to-Forecast Production Systems
M.
Rabani
F.
Monshi
H.
Rafiei
Making a rational decision about the free production capacity of a firm requires accurate and comprehensive information in different fields such as unscheduled time of the machines, materials or other required resources status in the firm and the related supply chain. In this study, we try to achieve the needed information through integrating advanced available-to-promise mechanism with scheduling in flow shop production systems. The aim is to determine the scheduling of the orders simultaneously with calculating the free capacity of the system to determine the ATP. Therefore, some different kinds of constraints including the availability of the machines and materials are considered. The obtained results from solving the proposed model lead to proper values for performance indexes.
Make-to-Forecast production strategy
Available-to-Promise
Scheduling
Flow shop
2014
08
23
123
129
https://aie.ut.ac.ir/article_51791_b6b0c96b1deffe4c9979f68c264c9a65.pdf