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نتیجه جستجو - برنامه ریزی پروژه

تعداد مقالات یافته شده: 11
ردیف عنوان نوع
1 A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems
یک الگوریتم تکامل دیفرانسیل چند مرحله ای چند کاره برای حل مشکلات برنامه ریزی پروژه محدود شده از منابع-2020
The Resource Constrained Project Scheduling problem (RCPSP) is a complex and combinatorial optimization problem mostly relates with project management, construction industries, production planning and manufacturing domains. Although several solution methods have been proposed, no single method has been shown to be the best. Further, optimal solution of this type of problem requires different requirements of the exploration and exploitation at different stages of the optimization process. Considering these requirements, in this paper, a two-stage multi-operator differential evolution (DE) algorithm, called TS-MODE, has been developed to solve RCPSP. TS-MODE starts with the exploration stage, and based on the diversity of population and the quality of solutions, this approach dynamically place more importance on the most-suitable DE, and then repeats the same process during the exploitation phase. A complete evaluation of the components and parameters of the algorithms by a Design of Experiments technique is also presented. A number of single-mode RCPSP data sets from the project scheduling library (PSPLIB) have been considered to test the effectiveness and performance of the proposed TS-MODE against selected recent well-known state-of-the-art algorithms. Those results reveal the efficiency and competitiveness of the proposed TS-MODE approach.
Keywords: Evolutionary algorithms | Differential evolution | Adaptive operator selection | Resource constrained project scheduling | problems
مقاله انگلیسی
2 A survey of hybrid metaheuristics for the resource-constrained project scheduling problem
بررسی استعاره ترکیبی برای مشکل برنامه ریزی پروژه با محدودیت منابع-2020
The Resource-Constrained Project Scheduling Problem (RCPSP) is a general problem in scheduling that has a wide variety of applications in manufacturing, production planning, project management, and var- ious other areas. The RCPSP has been studied since the 1960s and is an NP-hard problem. As being an NP-hard problem, solution methods are primarily heuristics. Over the last two decades, the increasing interest in operations research for metaheuristics has resulted in a general tendency of moving from pure metaheuristic methods for solving the RCPSP to hybrid methods that rely on different metaheuristic strategies. The purpose of this paper is to survey these hybrid approaches. For the primary hybrid meta- heuristics that have been proposed to solve the RCPSP over the last two decades, a description of the basic principles of the hybrid metaheuristics is given, followed by a comparison of the results of the dif- ferent hybrids on the well-known PSPLIB data instances. The distinguishing features of the best hybrids are also discussed.
Keywords: Project scheduling| Resource constraints | RCPSP | Metaheuristics | Hybrids
مقاله انگلیسی
3 Optimizing temporary work and overtime in the Time Cost Quality Trade-offProblem
بهینه سازی کار موقت و اضافه کاری در مسٔله تقابل کیفیت هزینه زمان -2020
In spite of its significant contribution to project success, quality has been scarcely addressed in the lit- erature on deterministic project scheduling problems. Although it is recognized that higher qualities are associated with longer processing times, no relationship between quality and resource consumption has been analytically derived to support this statement. As manufacturing projects can be accelerated us- ing additional manpower such as overtime and temporary workers, we derive an analytical relationship between quality and manpower since overtime and overmanning negate quality. We also take into ac- count productivity losses due to overmanning. Contrary to most previous contributions that focus on the project overall quality as an aggregation of quality levels attained at the individual activities, we impose each activity to reach a minimum quality threshold, which is consistent with project management prac- tices. Consequently, we develop a mixed integer linear programming (MILP) to optimize temporary work and overtime so as to accelerate a project with quality and productivity considerations. The objective is to simultaneously determine for each activity the number of permanent, temporary and overtime work- ers over the processing periods in order to minimize the makespan, the total cost and the overall quality losses subject to individual quality constraints, precedence relationships, nonpreemption and availability of resources. Our approach is successfully applied on numerous instances based on a real project of a high speed locomotive as well as on other projects taken from the literature.
Keywords: Project scheduling | Time Cost Quality Trade-offProblem | Activity quality | Temporary work | Overtime
مقاله انگلیسی
4 A classification and review of approaches and methods for modeling uncertainty in projects
طبقه بندی و بررسی رویکردها و روشها برای مدل سازی عدم اطمینان در پروژه ها-2020
In this paper, we created a classification for major sources of uncertainty in projects and categorized the studies in project scheduling literature with respect to the uncertainty source(s) they address. In addition, we investi- gated the approaches and methods to manage uncertainty, and studied the literature regarding these methods. Project management predominantly models the randomness in duration of activities; however, studies modeling the uncertainty due to other sources are scarce. We focused on these sources of uncertainty and highlighted the promising areas of research. The results presented in this paper will help researchers to identify the research gaps in modeling project uncertainty.
Keywords: Project management | Project scheduling | Uncertainty | Stochastic scheduling | Robust scheduling | Reactive scheduling
مقاله انگلیسی
5 A heuristic buffer sizing algorithm for implementing a renewable energy project
یک الگوریتم اندازه گیری بافر اکتشافی برای اجرای یک پروژه انرژی تجدید پذیر-2020
The swiftly growing wind farm projects together with the increasing uncertainty of these types of construction projects makes it more probable that projects will face delay. This research aims to introduce a heuristic algorithm to determine the sizes of project buffer and feeding buffers as well as dynamically control buffer consumption, named as Fuzzy Overlapping Buffer Management Algorithm (FOBMA). In this paper, the pentagonal fuzzy numbers were used to determine the appropriate amount of project activity resources. Also, an overlapping method was applied to obtain more realist activity durations. The FOBMA algorithm was compared to other algorithms using the data of 15 real-world wind farm projects as well as 15 randomly generated numerical examples. Moreover, the sensitivity analysis was conducted to validate the performance of the proposed algorithm. The findings demonstrate that the proposed FOBMA algorithm outperforms the other algorithms and yielded more realistic and shorter project duration.
Keywords: Construction project | Wind farm | Project scheduling | Buffer management | Buffer sizing and controlling algorithm | Pentagonal fuzzy numbers
مقاله انگلیسی
6 An interval-stochastic programming based approach for a fully uncertain multi-objective and multi-mode resource investment project scheduling problem with an application to ERP project implementation
یک رویکرد مبتنی بر برنامه نویسی فاصله ای تصادفی برای یک هدف چندجانبه کاملاً نامشخص و برنامه زمانبندی پروژه سرمایه گذاری منابع چند حالته با برنامه ای برای اجرای پروژه ERP-2020
Most of the real-life project scheduling cases may involve different types of uncertainties simultane- ously such as randomness, fuzziness and dynamism. Based on this motivation, the present paper pro- poses a novel interval programming and chance constrained optimization based hybrid solution approach for a fully uncertain, multi-objective and multi-mode resource investment project scheduling problem (MRIPSP). The classical discrete-time binary integer programming formulation of the problem is extended by incorporating both the interval-valued and interval-stochastic project parameters as well as variables. In addition to the uncertain project parameters/inputs, the completion times of the activities which rep- resent the project schedule and the availabilities of the renewable project resources are also stated as uncertain project variables and represented by interval numbers. Then, the proposed interval-stochastic multi-mode resource investment project scheduling (IS-MRIPSP) model is converted into its crisp equiva- lent form by using the proposed approach. The proposed approach is also able to consider different types of project scheduling risks and produces more reliable and risk-free solutions according to the project manager’s attitude toward risks. Furthermore, in addition to the classical makespan objective, effective and efficient utilization of the renewable project resources, i.e., human resources, is also targeted. The efficiency and reliability factors of the human resources are also taken into consideration. In order to generate balanced project schedules which tradeoffbetween the project time and total human resource costs, compromise programming approach is adapted. Finally, in order to test the validity and practicality of the proposed approach, a real-life application is presented for an enterprise resource planning (ERP) implementation project scheduling problem of an international industrial software company.
Keywords: Resource investment project scheduling | Interval programming | Chance-constrained programming | Human resource allocation | ERP project management | Risk attitude
مقاله انگلیسی
7 Incorporation of activity sensitivity measures into buffer management to manage project schedule risk
الحاق حساسیت مقیاس فعالیت به مدیریت بافر در مدیریت ریسک برنامه ریزی پروژه-2016
Article history:Received 17 June 2013Accepted 31 August 2015Available online 9 September 2015Keywords:Buffer management Schedule monitoring Activity sensitivity Schedule riskAction thresholdCritical Chain Scheduling and Buffer Management (CC/BM) has shown to provide an effective approach for building robust project schedules and to offer a valuable control tool for coping with schedule variability. Yet, the current buffer monitoring mechanism faces a problem of neglecting the dynamic feature of the project execution and related activity information when taking corrective actions. The schedule risk anal- ysis (SRA) method in a traditional PERT framework, on the other hand, provides important information about the relative activity criticality in relation to the project duration which can highlight management focus. It is implied, however, that control actions are independent from the current project schedule performance. This paper attempts to research these defects of both tracking methods and proposes a new project sched- ule monitoring framework by introducing the activity cruciality index as a trigger for effective expediting to be integrated into the buffer monitoring process. Furthermore, dynamic action threshold settings that depend on the project progress as well as the buffer penetration are presented and examined in order to exhibit a more accurate control system. Our computational experiment demonstrates the relative dominance of the integrated schedule monitoring methods compared to the predominant buffer management approach in generating better control actions with less effort and an increased tracking efficiency, especially when the increasing buffer trigger point is combined with decreasing sensitivity action threshold values.© 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved.
Keywords: Buffer management | Schedule monitoring | Activity sensitivity | Schedule risk | Action threshold
مقاله انگلیسی
8 ارزیابی روش های تجزیه و تحلیل میزان حساسیت جهانی برای زمانبندی پروژه
سال انتشار: 2016 - تعداد صفحات فایل pdf انگلیسی: 11 - تعداد صفحات فایل doc فارسی: 36
توسعه محصول , نیاز به برنامه ریزی دارد که بر وابستگی متقابل میان فعالیت ها , تمرکز داشته باشد. تعریف وابستگی ومدت زمان فعالیت، زمان ارتباط و سطح همپوشانی بین فعالیت ها , برای برنامه ریزی پروژه مورد نیاز است. با این حال، این پارامترها دارای عدم قطعیت شناختی هستند , که می تواند بر برنامه ریزی پروژه تاثیر بگذارد. در این کار، روش های تجزیه و تحلیل حساسیت های جهانی متفاوتی , برای شناسایی پارامترهایی که بیشترین تاثیر را بر برنامه ریزی پروژه دارند , استفاده شد. اینگونه نتیجه گیری شد که ضرایب رگرسیون استاندارد شده و همچنین به عنوان روش Morris و Sobol’–Jansen مناسب ترین روش ها هستند . همچنین مشخص شد که تجزیه و تحلیل میزان حساسیت جهانی می تواند به تمرکز بر منابع بر اساس تعاریف و کنترل عدم قطعیت فعالیت های کلیدی , کمک کند . علاوه بر این، اینگونه نتیجه گرفته شد که کنترل عدم اطمینان از فعالیت های کلیدی , باعث کاهش میزان عدم قطعیت و مدت زمان پروژه میشود .
کلمات کلیدی: ماتریس ساختار وابستگی | مدت زمان پروژه | تجزیه و تحلیل حساسیت | همپوشانی | زمانبندی
مقاله ترجمه شده
9 A Petri Net-based framework for realistic project management and scheduling: An application in animation and videogames
چارچوب مبتنی بر شبکه پتری مدیریت پروژه و برنامه ریزی واقع بینانه: یک برنامه در انیمیشن و بازی های ویدئویی-2016
This paper presents a real life Petri Net-based framework for integrated and collaborative project management in the Animation and Videogame (A&V) industry. This framework provides an all-in-one modeling, scheduling, and simulation tool. The purpose of the framework is twofold: First to facilitate the configuration (and eventual reconfiguration) of projects and second, provide appropriate analysis tools. The modeling of the project activities and the associated resources is accomplished via a new class of Petri Net denoted here as extended attribute Timed Place Petri Net. This Petri Net class combines the strengths of colored and ordinary Timed Petri Nets in terms of modeling and analysis. The offline project schedule is generated with a Graph Search algorithm which explores the Petri Net state space. The algorithm is also adapted to handle reworks that often occur due to multiple changes during execution. Several scenarios can be simulated along with the calculations of duration, cost and resource usage. The potential of the framework is illustrated with two short case studies. The results and deliverables of the approach have been confronted with managers of several companies involved in the project who pro- vided valuable insight and gave favorable remarks.& 2015 Elsevier Ltd. All rights reserved.
Keywords: Project Scheduling | Petri Nets | Animation and Video games | Simulation
مقاله انگلیسی
10 تخصیص منابع زیاد برای برنامه ریزی پروژه موثق: رویکرد تئوری بازی
سال انتشار: 2015 - تعداد صفحات فایل pdf انگلیسی: 9 - تعداد صفحات فایل doc فارسی: 19
مسئلهء تخصیص زیاد، در میان جالب ترین و سخت ترین مشکلات در طراحی موثق سیستم قلمداد شده است. در این مقاله، این مفهوم به منظور افزایش قابلیت اطمینان در برنامه ریزی پروژه های شبکه با مدت زمان فعالیت در نظر گرفته شده بود. به منظور تعیین شیوه ای مطلوب از تخصیص زیاد، یک مدل جدید ریاضی را در اینجا توسعه داده ایم. سپس، با شبیه سازی مسئله در قالب یک الگوی تئوری بازی، نشان دادند که نقاط همتراز Nash از این مسئله بسیار نزدیک به راه حل های بهینه سازی از مدل اصلی است. بنابراین، رویکرد الگوریتمی برای محاسبه همترازی Nash توسعه داده شد. در نهایت، چند آزمایش محاسباتی اجرا گردید و نتایج را تجزیه و تحلیل نمود. مقایسه همترازیِ نتایج با سیاست بهینه، بهره وری از همترازی Nash را برای افزایش اعتبارِ پروژه های شبکه توجیه نمود.
کلمات کلیدی: برنامه ریزی پروژه | اعتبار | تخصیص منابع زیاد | تئوری بازی.
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