programming
در نشریات گروه فنی و مهندسی-
Journal of Industrial Engineering and Management Studies, Volume:10 Issue: 2, Summer-Autumn 2023, PP 1 -18In today's world, software tools play an important role in speeding up software development, reducing development costs and human efforts, as well as increasing reliability. In software development by tools, choosing a suitable tool will be a difficult task because many of them are available with different capabilities. On the other hand, little research has focused on the classification of these tools and their comparison. This paper aims to perform a literature review of software development tools and to propose architectures for the requirement of the Organization of Small Industries and Industrial Towns of Iran (OSIITI), in Iran. We did a survey over more than 50 software development and programming tools. The results of this survey identified ten classes, namely (a) Database Tools; (b) Integrated Development Environment; (c) Software Development Frameworks; (d) Data Science Tools; (e) Source Control Tools; (f) DevOps Tools; (g) Unified modeling Language (UML) Tools; (h) Cloud Tools for Software Development; (h) Prototyping Tools; and (j) Notifications Programs. For each class, we collected the most software tools that are currently used with their major features. After that, two architectures, based on layered and service-oriented patterns are proposed for OSIITI. The ten specified classes, along with the tools in each class, are very useful for organizations like OSIITI who want to develop software, for both small and large projects.Keywords: Software Development, Tools, programming
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در مطالعه حاضر با استفاده از روش محاسباتی به نام بررسی گروهی داده (group method of data handling) مدل موثر برای پیش بینی میزان پیشروی واکنش نیتریده کردن سیلیسیم به روش پیوند واکنشی، توسعه داده شده است. 2186 داده از آزمایش های انجام شده در این تحقیق و اطلاعات موجود در کار های گذشته استخراج شده است. تاثیرات مهم ترین پارامتر ها مثل زمان، دما، درصد گاز نیتروژن، اندازه قرص و اندازه ذره سیلیسیم اولیه بررسی شده است. واکنش نیتریده کردن سیلیسیم در دمای 1573 درجه کلوین انجام شد و نتایج آزمایش با مقادیر حاصل از مدل مقایسه و با استفاده از پارامترهای خطای آماری عملکرد مدل با خطای 96/0 تایید شد. همچنین عملکرد دقیق و موثر مدل GMDH در برابر مدل های تحلیلی قبلی مقایسه شد. با استفاده از آنالیز حساسیت، فشار نیتروژن با مقدار 27/0 موثرترین پارامتر در میزان نیتریده شدن تعیین شد.
کلید واژگان: الگوریتم، سرامیک، مدل سازی، سیلیسیم نیترید، برنامه نویسی، سینتیک، الگو، برازشIn the present study, a soft computing method namely the group method of data handling (GMDH) is applied to develop a new and efficient predictive model for prediction of kinetics silicon nitridation. 1186 data point is obtained from experimental results and other studies in literatures. Several effective parameters like time, temperature, nitrogen percentage, pellet size and silicon particle size are considered. The silicon nitridation was performed in 1573 k and results were evaluated against model results for validation of the model. The performance of the model is evaluated through statistical analysis. Furthermore, the performance and efficiency of the GMDH model is confirmed against the two most common analytical models. Using sensitivity analysis, nitrogen pressure with 0.27 was the most effective parameter in nitridation.
Keywords: Ceramics, Modeling, Silicon nitriding, Programming, kinetics, pattern, Regression -
ازآنجایی که فاجعه های طبیعی اغلب موجب از بین رفتن جان و مال انسان ها می شوند، طراحی مناسب شبکه توزیع امدادرسانی بعد از وقوع بحران ضروری می باشد. به علاوه چون افراد آسیب دیده نمی توانند بیش از چند روز بدون آب، غذا، دارو و سرپناه زنده بمانند، مسئله مسیریابی و توزیع کالاهای امدادی با حداکثر سرعت بسیار مهم بوده و از اهداف اصلی پژوهش در نظر گرفته شده است. حداقل کردن تعداد وسایل موردنیاز به منظور کاهش هزینه ها و توزیع عادلانه کالاهای امدادی به گونه ای که در یک پناهگاه نسبت به پناهگاه دیگر، کمبود بیش ازحد زیاد نباشد، از دیگر اهداف پژوهش می باشند. برای دستیابی به اهداف فوق، مدل برنامه ریاضی سه هدفه سیستم لجستیک توزیع برای مسیریابی و زمان بندی وسایل نقلیه امدادی جهت توزیع کالاهای امدادی از مراکز توزیع به پناهگاه ها تحت شرایط عدم قطعیت و با در نظر گرفتن اختلال در توزیع طراحی شده است. به منظور برخورد با عدم قطعیت موجود در پارامترهای مسئله از دو روش امکانی مختلف شامل رویکرد امکانی مبتنی بر اندازه اعتبار و روش استوار امکانی بهره گرفته شده است. برای حل مدل چندهدفه ارایه شده نیز از یک رویکرد فازی تعاملی بهره گرفته شده است. درنهایت به منظور بررسی کاربردپذیری مدل ریاضی ارایه شده، مطالعه موردی در ایران و در شهر تبریز صورت گرفته است. با توجه به نتایج به دست آمده و اولویت تصمیم گیرنده برای کاهش تقاضای برآورده نشده در این مقاله، روش استوار امکانی بهترین روش برای مدل سازی مسئله موردنظر انتخاب می شود. همچنین نتایج حاصل از حل مطالعه موردی نشان داد که بین میزان عرضه کالاهای امدادی و زمان توزیع کالاهای امدادی رابطه معکوس وجود دارد و درصد کاهش زمان توزیع کالاهای امدادی درازای افزایش بیش ازحد عرضه کالاهای امدادی بسیار ناچیز می باشد.کلید واژگان: برنامه ریزی امکانی، برنامه ریزی ریاضی چندهدفه، اختلال، لجستیک امداد بشردوستانهJournal of Industrial Engineering Research in Production Systems, Volume:8 Issue: 17, 2021, PP 275 -293Since natural disasters often lead to the loss of human lives and property, the proper design of a post-disaster relief distribution network is essential. Besides, because the affected people cannot survive more than a few days without water, food, medicine and shelter, the routing and distribution of relief goods at maximum speed is crucial and is one of the main goals of this research. Minimizing the number of equipment needed to reduce costs and equal distribution of relief goods, so that there is not too much shortage in one shelter than another is the other goal of the study. To achieve these objectives, a tri-objective mathematical model for a distribution logistics system is designed to route and schedule relief vehicles for distributing relief goods from distribution centers (DCs) to shelters under uncertainty, and disruptive distribution. In order to deal with the uncertainty, two different methods have been used, including a credibility-based possibilistic programming method, and the robust possibilistic method. To solve the proposed multi-objective model, an interactive fuzzy approach has been used. Then, to investigate the applicability of the proposed mathematical model, it has been implemented on a real case study in the city of Tabriz, Iran. According to the obtained results and the decision maker's priority to reduce the unmet demand in this paper, the robust possibilistic method is finally selected as the best method to handle this problem. Also, the results of solving the case study show that there is an inverse relationship between the supply of relief goods and the distribution time of relief goods, and the percentage of reduction in the distribution time of relief goods in exchange for an excessive increase in the supply of relief goods is very small, which could be ignored.Keywords: Possibilistic programming, Multi-objectives mathematical, programming, Disruption, Humanitarian relief logistics
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Combinatorial optimization problems spans through several applications such as task scheduling and resources allocation, where an optimal element is to be determined from the analysis of computational complexity; which characterized the optimality as best solution from feasible regions by objective functions. Some decision making problems can be solved by surface scanning as it is in dynamic programming technique, where optimal solutions comes by simple segmentation operations. Many algorithms on decision tree C4.5 and logical clustering to search solution space use dynamic programming. In this paper, optimization techniques and mathematical modeling for solving hard combinatorial problems were explored and juxtaposed with computer programming as computational aid. Technical computing and program module shows the algorithm efficacy for implementation and correctness of combinatorial structure to obtain optimal solution.Keywords: optimization, programming, Combinatorial Problems, Computational Tool
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In the present study, a soft computing method namely the group method of data handling (GMDH) is applied to develop a new and efficient predictive model for prediction of conversion percentage of silicon. A comprehensive database is obtained from experimental studies in literature. Several effective parameters like time, temperature, nitrogen percentage, pellet size and silicon particle size are considered. The performance of the model is evaluated through statistical analysis. Moreover, the silicon nitridation was performed in 1573 k and results were evaluated against model results for validation of the model. Furthermore, the performance and efficiency of the GMDH model is confirmed against the two most common analytical models. The most effective parameters in estimating the conversion percentage are determined through sensitivity analysis based on the Gamma Test. Finally, the robustness of the developed model is verified through parametric analysis.
Keywords: Ceramics, Modeling, Silicon Nitriding, Programming, Kinetics, Pattern, Regression -
Journal of Optimization in Industrial Engineering, Volume:13 Issue: 27, Winter and Spring 2020, PP 19 -27A constraint is a limitation or a restriction that poses a threat to the performance and efficiency of a system. This paper presented a tactical review approach to production constraints modeling. It discussed the theory of constraints (TOC) as a thinking process and continuous improvement strategy to curtail constraints in other to constantly increase the performance and efficiency of a system. It also x-rayed the working process of implementing the TOC concept which consists of five steps called “Process of On-Going Improvement”. Furthermore, it talked about constraints programming and constraints-based models which were explained to some details. Finally, production constraints model formulation procedures for linear programming and non-linear programming scenarios were extensively discussed with reference to published literature as instances of production constraints modeling were also cited.Keywords: Constraints, production, Models, Linear, Non-linear, Programming, TOC
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در فضای رقابتی امروز، تدوین یک برنامه ی تاکتیکی موثر که قادر به یکپارچه سازی برنامه های تامین و توزیع در یک چارچوب کارا شود، امری مهم و ضروری به نظر می رسد. در این مقاله یک مدل برنامه ریزی اصلی برای زنجیره تامین دارو شامل چند تامین کننده، یک تولیدکننده و چند مرکز توزیع پیشنهاد شده است. نخست یک مدل برنامه ریزی خطی عدد صحیح امکانی چندهدفه به منظور کاهش هزینه های لجستیک و همچنین افزایش سطح رضایت از انتخاب تامین کنندگان ارائه شده است. سپس به واسطه ی طبیعت غیرقطعی پارامترهای ورودی چنین مسئله ای، یک مدل جدید برنامه ریزی امکانی استوار که قدرت تنظیم درجه استواری تصمیمات خروجی در برابر عدم قطعیت پارامترها را دارد، توسعه داده شده است. در پایان از طریق نتایج محاسباتی کارایی مدل پیشنهادی نمایش داده شده و کیفیت بالای عملکرد و کاربردی بودن مدل برنامه ریزی امکانی استوار پیشنهادی نمایش داده شده است.کلید واژگان: زنجیره تامین دارو، برنامه ریزی اصلی، برنامه ریزی امکانی، برنامه ریزی امکانی استوارJournal of Industrial Engineering Research in Production Systems, Volume:4 Issue: 7, 2016, PP 49 -67The provision of an efficient master plan which is able to integrate the procurement, production and distribution plans is a critical need in the way of achieving the competitive advantage in todays marketplace. In this paper, a supply chain master planning problem of a drug supply chain is taken into account. The considered drug supply chain includes multiple suppliers, one manufacturer and multiple distribution centers. In this paper, a multi-objective possibilistic mixed integer linear programming model (MOPMILP) which minimizes the total logistics cost and maximizes the total value of supplier selection aggregate function is developed. It should be noted that both economic and environmental criteria are considered in the supplier selection objective function to support the green and sustainable purchasing approach. Then to cope with the input parameters tainted with high degree of uncertainty, a new effectual robust possibilistic programming (RPP) model is elaborated. The proposed robust possibilistic programming model is able to appropriately adjust the degree of feasibility and optimality robustness of output decisions against business-as-usual uncertainty. Also the proposed robust optimization model can be appropriately applied in the cases in which reliable and sufficient historical data is not available for imprecise parameters (i.e., most of the real-life problems). To show the usefulness and effectiveness of the proposed robust possibilistic programming model numerical and comparative experiments are provided. The numerical results endorse the validity and practicability of the rendered model as well as presenting the efficiency and felicity of the developed approach.Keywords: Drug supply chain, Master planning, Possibilistic programming, Robust possibilistic, programming
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Determination a sequence of extracting ore is one of the most important problems in mine annual production scheduling. Production scheduling affects mining performance especially in a poly-metallic open pit mine with considering the imposed operational and physical constraints mandated by high levels of reliability in relation to the obtained actual results. One of the important operational constraints for optimization is the uniformity of metallic minerals grade after the blending process. This constraint directly affects the performance of the mineral processing plant. The sequence of extracting ore is usually determined by the order of pushbacks, which should be mined. Metallic minerals’ grade in each pushback is stochastic in nature that comes from some statistical errors committed by the sampling. In such situations, decision making about the order of pushbacks for extraction as an exact defined process is not possible. Moreover, the decision-maker should maximize the total Net Present Value NPV as the main objective of mining operations by considering the high performance of mineral processing plant. To deal with such cases, this research proposes a model based on the chance-constrained one-sided goal-programming and the obtained results from this procedure confirms the model’s reliability and correctness.
Keywords: ORE blending, Poly, metallic open pit mine, Chance, constrained programming, Goal, programming
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