University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
کاربرد طراحی آزمایش ها، روش شناسی رویه پاسخ و تصمیمگیری چندهدفه دربهبود مشخصههای کیفی مؤثر: مطالعات موردی بر روی فرایند
835
848
EN
Maghsoud
Amiri
Komeyl
Eshraghi
Hadi
Kioumarsi
Reza
Rashidi
Majid Reza
Haji Abed Na'eeni
10.22059/jac.2013.7899
Design of Experiments,Response Surface Methodology,Multi Objective Decision Making,Sheet draw process,Plastic injection molding process
https://jac.ut.ac.ir/article_7899.html
https://jac.ut.ac.ir/article_7899_05e9f7abee35991d5c66b00435b8935b.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
مدل و الگوریتم یک مساله کنترل موجودی با در نظر گرفتن هزینه حمل و نقل
873
885
EN
Fariborz
Jolai
Reza
Tavakolli Moghaddam
Jafar
Razmi
Pedaram
Sahba
10.22059/jac.2013.7900
In this paper, a supplier-retailer transportation system is investigated as a two-echelon environment. There is a single location in each echelon; the unique supplier at the first echelon has to replenish the retailer's warehouse at the second echelon. By the way, the shortage situation should be avoided. For this situation, a model is provided based on the traditional EOQ model. The inventory costs, ordering costs, transportation cost, etc. are considered in this model. Multistage shipment during each ordering period with a specific number of vehicles is allowed in the proposed model. The model's decisions involved in managing the system include design decision (i.e., optimized number of required vehicles), as well as operation decision (i.e., optimized order quantity and number of trips and transportation stages). A solution algorithm is proposed for the proposed model and implemented with C#.Net which is available and applicable on the website, namely www.PedramSahba.com. A numerical example and sensitivity analysis are presented for exposing the model and algorithm capability and then verifying and validating the model.
Two,echelon inventory Model,Supplier,retailer system,Economic Order Quantity,Transportation Cost,Logistics
https://jac.ut.ac.ir/article_7900.html
https://jac.ut.ac.ir/article_7900_ea6e54b900a1a8c3620637a22b8e68c7.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
ارائه مدل توسعه یافته انعطافپذیری و کارایی سازمان در محیط فازی
887
896
EN
Masoud
Rabbani
Reza
Tavakkoli Moghaddam
Yasaman
Khodadadegan
Mo'eed
Hagh Nevis
10.22059/jac.2013.7901
Nowadays, the problem of the flexibility in any organization has essential importance and the associated investigation with the organizational efficiency and performance is considered. In real-world situation, the process of decision making is often based on linguistic and mental data, so applying fuzzy logic in modeling at this point of view is convenient. In this paper, a fuzzy approach is applied for a developed organizational flexibility model considering both organizational efficiency and flexibility. In fuzzy environment, this model makes real conditions for the problem. This problem is solved in certain and fuzzy conditions and the associated results are presented.
Flexibility,Efficiency,Fuzzy Optimization,Organizational Improvement
https://jac.ut.ac.ir/article_7901.html
https://jac.ut.ac.ir/article_7901_d2354b01bbbd7d4fdd72f83de569b586.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
طراحی یک مدل مبتنی بر شبکههای عصبی برای شناسایی و تجزیه و تحلیل الگوهای غیرطبیعی در نمودارهای کنترل فرآیند
927
942
EN
Seyyed Mohammad Taghi
Fatemi Ghomi
Seyyed Ali
Lesani
Ahmad
Kouchak Zadeh
10.22059/jac.2013.7902
Neural networks because of their abilities are used to patterns recognition. In statistical process control charts, a common cause variation distort expected form of unnatural patterns and so detection of assignable causes efficiently and precisely in a real-time is difficult. Therefore it would be logical to propose models based neural networks for recognition and analysis of patterns in process control charts. Nearly most of investigations of the application of neural networks to control chart patterns recognition solely have emphasized the detection of patterns and have not considered analysis and extraction detailed information which is important for effectively determining the assignable causes. Moreover, some of the patterns generator functions do not represent completely the real world situation. This paper proposes a model for discrimination and analysis of basic and concurrent patterns. This model first recognizes unnatural patterns. Then it estimates their starting point and finally determines the values of corresponding parameters. In design of proposed model, the development of areas of application has been emphasized. Numerical results indicate that the components of proposed model have suitable and effective performance
Patterns recognition,Process control charts,Neural networks,Average run length
https://jac.ut.ac.ir/article_7902.html
https://jac.ut.ac.ir/article_7902_1feffb637336b5d6641d81929769a028.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
A Model for E-Readiness Assessment of Iranian Small and Medium Enterprises
969
985
EN
Maryam
Hourali
Mohammad
Fathian
Abbas
Montazeri
Mansoureh
Hourali
10.22059/jac.2013.7903
The current dynamic and turbulent business environment has forced companies that are competing in global markets to change their traditional methods of conducting business. Recent developments in applying Information Technology (IT) offer the most exciting business opportunities in the marketplace. Organizations must re-evaluate every aspect of their strategies and quickly move to a working mode where the electronic commerce is essential for their success. One of tools that can be used for measuring the diffusion rate of IT is e-readiness assessment. Small and Medium Enterprises (SMEs) are critical to the economies of all countries, including developing ones. They cannot be left behind and many are already demonstrating their entrepreneurship strength by grasping opportunities offered by IT. The concept of e-readiness assessment for SMEs has received limited attention in the literature.
This paper first studies e-readiness assessment models proposed for countries and then tries to develop a model for measuring the e-readiness of SMEs (ESME) by an exploratory study. Finally, the proposed model is used for the assessment and comparison for e-readiness of three considered Iranian SMEs.
Information Technology,E,readiness Assessment,Small and Medium Enterprise
https://jac.ut.ac.ir/article_7903.html
https://jac.ut.ac.ir/article_7903_0ecb83d2bca16bf0b07b6c2ec3e69972.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
ستفاده از خوشهبندیهای پیاپی نقشه خودسازمانده برای بهبود پیشبینی پیک بار الکتریکی روزانه مبتنی بر شبکههای عصبی پیشخوراند
911
926
EN
Ali Reza
Soroush
Mohammad Reza
Amin naseri
10.22059/jac.2013.7904
Clustering,Linear regression,Load forecasting,Principal component analysis,Feedforward neural networks,Self,organizing maps
https://jac.ut.ac.ir/article_7904.html
https://jac.ut.ac.ir/article_7904_c958c0c254954efa968c750ca0882f58.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
شبیهسازی تقاضای برق صنایع ایران با استفاده از سیستم داینامیک
943
953
EN
Parisa
Mousavi Aharanjani
Seyyed Farid
Ghaderi
Mohammad Ali
Azadeh
10.22059/jac.2013.7905
Nowadays, electricity is one of the most significant infrastructures required for economic development of countries. Hence, predicting electricity demand is very important especially in industry as a major electricity-consuming sector. The majority of studies under the subject of electricity demand have been performed by econometrics and it is not possible to investigate the effect of different policies on electricity demand. But system dynamics has the advantage of providing this possibility. Considering studies accomplished on electricity demand of industry, factors affecting electricity demand have been recognized as value-added, electricity tariff and equipment efficiency used in industry. Since efficiency is a qualitative concept, electricity intensity index has been used to measure efficiency of industries. Considering these factors and dividing electricity consumption to variable and constant consumption and using the concept of electricity intensity, electricity demand model of industry has been attained through system dynamics. The model has been run for years 1997 to 2003 and electricity consumption of model has been compared with real data in these years for validation of the model. Since error of model is small enough, electricity consumption of industry sector has been predicted up to year 2021.
System approach,Energy Intensity,Consumption,Industrial sector
https://jac.ut.ac.ir/article_7905.html
https://jac.ut.ac.ir/article_7905_54c8574d43bf1b58829c6f8b5ec040fc.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
Transfer of Bargaining Power Sources in Oil Trade Games
955
958
EN
Ardeshir
Ahmadi
Azizollah
Memariani
10.22059/jac.2013.7906
Bargaining Power is one of the important issues in oil trade negotiations. In this paper two effective factors in bargaining power i.e. patient time to deal and outside options of each player have been considered. The necessary relations for exchange of sources in negotiation have been derived.
Bargaining Games,Oil Trade – Negotiation,Bargaining Power
https://jac.ut.ac.ir/article_7906.html
https://jac.ut.ac.ir/article_7906_ea312e96e78f120e63f4206d5b55044f.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
زمانبندی دو معیاره در محیط جریان کاری ترکیبی با ماشینهای غیر یکسان
849
861
EN
Reza
Baradaran Kazemzadeh
Seyyed Hesamoddin
Zegardi
Mohammad Ali
Beheshti Nia
10.22059/jac.2013.7907
This study considers scheduling in Hybrid flow shop environment with unrelated parallel machines for minimizing mean of job's tardiness and mean of job's completion times. This problem does not study in the literature, so far. Flexible flow shop environment is applicable in various industries such as wire and spring manufacturing, electronic industries and production lines. After modeling the problem as a mixed integer programming model, three heuristics named Cluster, H1 and H2 is proposed for solving it. The first heuristic (Cluster) algorithm utilizes clustering methods for determining sequence of jobs. The second and third heuristics (H1 and H2) determine sequence of jobs with using SPT and EDD rules, respectively. The experimental results of study show that Cluster algorithm outperforms H1 and H2.
Scheduling,Hybrid Flow Shop,Clustering,heuristic algorithm
https://jac.ut.ac.ir/article_7907.html
https://jac.ut.ac.ir/article_7907_c6653780f6833eb1bf5a1ffcc6ec8e90.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
(طراحی مدل نوین پشتیبانی تصمیمگیری جهت ارزیابی و انتخاب پیمانکاران عمرانی در مناقصهها (در ایران
897
909
EN
Jafar
Razmi
Hassan
Haleh
Sa'eed
Meshkin Fam
10.22059/jac.2013.7908
Contractor evaluation and selection is one of the most important decision making problems that many regulations and methods have been introduced for it. In Iran, "Planning and Management Organization" is responsible for classification and prequalification of contractors and due to this responsibility, this organization edit the Contractors Classification and Prequalification Regulation regularly. This regulation should be applied in Public sector and project owners should fulfill their tenders with respect to the article of tenders by law. In general, the current system is a multistage process in which, the best contractor will be selected according to its propositional price for tenders, in final step. In this paper, a multi criteria decision making model is introduced which can consider all of quantitative and qualitative factors that may affect on contractor selection in tenders. Six general criteria are considered in this model as the most effective factors on selecting a contractor; some of these criteria have their own sub criteria. A Fuzzy MADM method (by using linguistic variables) is used to rank the contractors and to select the best contractor in tenders.
Evaluation and selection of contractors,Multi Attribute Decision Making,Fuzzy Sets Theory
https://jac.ut.ac.ir/article_7908.html
https://jac.ut.ac.ir/article_7908_92cba03d7e9dc456bc490cfed7a45a94.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
رتبهبندی ریسک پروژه با استفاده از فرآیند تصمیمگیری چند شاخصه
863
871
EN
Mohammad Sa'eed
Jabal Ameli
Ayat
Reza'ee far
Ali
Cha'ee Bakhsh Langaroudi
10.22059/jac.2013.7909
Risk management,Decision making,Risk ranking,MADM,Quantitative,Project management
https://jac.ut.ac.ir/article_7909.html
https://jac.ut.ac.ir/article_7909_e478d260d42d8943ad6e1bd9267990b0.pdf
University of Tehran
Journal of Algorithms and Computation
2476-2776
2476-2784
41
7
2013
05
21
Economical Design of Double Variables Acceptance Sampling With Inspection Errors
959
967
EN
Ali Reza
Arshadi Khamseh
Seyyed Mohammad Taghi
Fatemi Ghomi
Majid
Aminnayyeri
10.22059/jac.2013.7910
The paper presents an economical model for double variable acceptance sampling with inspection errors. Taguchi cost function is used as acceptance cost while quality specification functions are normal with known variance. An optimization model is developed for double variables acceptance sampling scheme at the presence of inspection errors with either constant or monotone value functions. The monotone value functions could be descending or ascending exponentially. In the case that inspection errors have exponentially functions, we can find the best value for inspection errors regarding to the sample number and other economical parameters. Finally sensitivity analysis has done on model parameters and some numerical examples are given to demonstrate how the developed model is applied.
Acceptance Sampling,Double Variable,Inspection Errors,Optimization,Taguchi Cost function
https://jac.ut.ac.ir/article_7910.html
https://jac.ut.ac.ir/article_7910_16d23ee65545c5cf4c8eec73482a5a36.pdf