Relevant bibliographies by topics / Resource and time constrained multi-project scheduling problem

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Resource and time constrained multi-project scheduling problem'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Resource and time constrained multi-project scheduling problem"

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Suresh, M., Pankaj Dutta, and Karuna Jain. "Resource Constrained Multi-Project Scheduling Problem with Resource Transfer Times." Asia-Pacific Journal of Operational Research 32, no. 06 (2015): 1550048. http://dx.doi.org/10.1142/s0217595915500487.

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Scheduling multi-project is a complex decision making process. It involves the effective and timely allocation of resources to different projects. In the case of multi-project, resources are often transferred between the projects. It consumes both time and cost, when projects are situated in different geographic locations. As a result, the net present value (NPV) of multi-projects is significantly impacted by the resource transfer time. In this paper, a new genetic algorithm (GA) approach to the multi-project scheduling problem with resource transfer times is presented, where the NPV of all pr
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Altintas, Cansu, and Meral Azizoglu. "A Resource Constrained Project Scheduling Problem With Multi-Modes." International Journal of Information Technology Project Management 11, no. 1 (2020): 55–70. http://dx.doi.org/10.4018/ijitpm.2020010104.

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In this study, the authors consider a project scheduling problem with a single non-renewable resource. The authors assume that the resource is released at scheduled times and specified quantities and the resource is consumed at activity completion. The activities can be processed at different modes where a mode is defined by a processing time and a resource requirement amount. The problem is to select the modes and timings of the activities so as to minimize the project completion time. The authors give a mixed integer linear programming model and discuss some variable elimination mechanisms t
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Kannimuthu, Marimuthu, Benny Raphael, Palaneeswaran Ekambaram, and Ananthanarayanan Kuppuswamy. "Comparing optimization modeling approaches for the multi-mode resource-constrained multi-project scheduling problem." Engineering, Construction and Architectural Management 27, no. 4 (2019): 893–916. http://dx.doi.org/10.1108/ecam-03-2019-0156.

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Purpose Construction firms keep minimal resources to maintain productive working capital. Hence, resources are constrained and have to be shared among multiple projects in an organization. Optimal allocation of resources is a key challenge in such situations. Several approaches and heuristics have been proposed for this task. The purpose of this paper is to compare two approaches for multi-mode resource-constrained project scheduling in a multi-project environment. These are the single-project approach (portfolio optimization) and the multi-project approach (each project is optimized individua
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Wang, Ru, and Jing Lian. "Research on Construction Schedule Optimization of Assembly Building Based on NSGA-II." E3S Web of Conferences 165 (2020): 06055. http://dx.doi.org/10.1051/e3sconf/202016506055.

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Considering multiple possible scenarios in the process of project construction, the prefabricated project scheduling problem is studied in combination with the theory of multi-mode resource-constrained project scheduling problem. Multi-objective multi-mode resource-constrained project scheduling model with time/robustness trad-offs was constructed. Next, the adjusted non-dominated genetic algorithm (NSGA-II) was designed to solve the model. Finally, the proposed model and algorithm were implicated to a real project, in order that research achievement can guide managers to make decisions and in
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Kong, Feng, and Dong Dou. "Resource-Constrained Project Scheduling Problem under Multiple Time Constraints." Journal of Construction Engineering and Management 147, no. 2 (2021): 04020170. http://dx.doi.org/10.1061/(asce)co.1943-7862.0001990.

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Ghamginzadeh, Arman, Amir Abbas Najafi, and Mohammad Khalilzadeh. "Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem Under Time Uncertainty." International Journal of Fuzzy Systems 23, no. 2 (2021): 518–34. http://dx.doi.org/10.1007/s40815-020-00984-w.

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Dang Quoc, Huu, Loc Nguyen The, Cuong Nguyen Doan, and Toan Phan Thanh. "A NEW ALGORITHM FOR MULTI-SKILL RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM BASED ON CUCKOO SEARCH STRATEGY." Journal of Science Natural Science 65, no. 6 (2020): 98–109. http://dx.doi.org/10.18173/2354-1059.2020-0034.

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The purpose of this paper is to consider the project scheduling problem under such limited constraint, called Multi-Skill Resource-Constrained Project Scheduling Problem or MS-RCPSP. The algorithm proposed in this paper is to find the optimal schedule, determine the start time for each task so that the execution time (also called makespan) taken is minimal. At the same time, our scheduling algorithm ensures that the given priority relationships and constraints are not violated. Our scheduling algorithm is built based on the Cuckoo Search strategy. In order to evaluate the proposed algorithm, e
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Chen, James C., Wun Hao Jaong, Cheng Ju Sun, Hung Yu Lee, Jenn Sheng Wu, and Chung Chao Ku. "Applying Genetic Algorithm to Resource Constrained Multi-Project Scheduling Problems." Key Engineering Materials 419-420 (October 2009): 633–36. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.633.

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Resource-constrained multi-project scheduling problems (RCMPSP) consider precedence relationship among activities and the capacity constraints of multiple resources for multiple projects. RCMPSP are NP-hard due to these practical constraints indicating an exponential calculation time to reach optimal solution. In order to improve the speed and the performance of problem solving, heuristic approaches are widely applied to solve RCMPSP. This research proposes Hybrid Genetic Algorithm (HGA) and heuristic approach to solve RCMPSP with an objective to minimize the total tardiness. HGA is compared w
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Tosselli, Laura, Verónica Bogado, and Ernesto Martínez. "Multi-agent Learning by Trial and Error for Resource Leveling during Multi-Project (Re)scheduling." Journal of Computer Science and Technology 18, no. 02 (2018): e14. http://dx.doi.org/10.24215/16666038.18.e14.

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In a multi-project context within enterprise networks, reaching feasible solutions to the (re)scheduling problem represents a major challenge, mainly when scarce resources are shared among projects. The multi-project (re)scheduling must achieve the most efficient possible resource usage without increasing the prescribed project constraints, considering the Resource Leveling Problem (RLP), whose objective is to level the consumption of resources shared in order to minimize their idle times and to avoid overallocation conflicts. In this work, a multi-agent solution that allows solving the Resour
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Colak, Selcuk, Anurag Agarwal, and Selcuk Erenguc. "Multi-Mode Resource-Constrained Project-Scheduling Problem With Renewable Resources: New Solution Approaches." Journal of Business & Economics Research (JBER) 11, no. 11 (2013): 455. http://dx.doi.org/10.19030/jber.v11i11.8193.

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We consider the multi-mode resource-constrained project scheduling problem (MRCPSP) with renewable resources. In MRCPSP, an activity can be executed in one of many possible modes; each mode having different resource requirements and accordingly different activity durations. We assume that all resources are renewable from period to period, such as labor and machines. A solution to this problem basically involves two decisions (i) The start time for each activity and (ii) the mode for each activity. Given the NP-Hard nature of the problem, heuristics and metaheuristics are used to solve larger i
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Dissertations / Theses on the topic "Resource and time constrained multi-project scheduling problem"

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Gholizadeh, Tayyar Shadan. "An optimization-based framework for concurrent planning of multiple projects and supply chain : application on building thermal renovation projects." Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2017. http://www.theses.fr/2017EMAC0006/document.

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Le contexte d’application de cette recherche a été le projet CRIBA. CRIBA vise à industrialiser une solution intégrée de rénovation et d’isolation de grands bâtiments. De ce fait, une part importante de la valeur ajoutée est transférée des chantiers de rénovation vers des usines de fabrications devant être synchronisées avec les chantiers. La planification est l'une des étapes importantes de la gestion de projets. S’adaptant à une organisation, elle vise une réalisation optimale en considérant les facteurs de temps, coût, qualité ainsi que l’affectation efficace des ressources. Cette affectati
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Bettemir, Onder Halis. "Optimization Of Time-cost-resource Trade-off Problems In Project Scheduling Using Meta-heuristic Algorithms." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611971/index.pdf.

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In this thesis, meta-heuristic algorithms are developed to obtain optimum or near optimum solutions for the time-cost-resource trade-off and resource leveling problems in project scheduling. Time cost trade-off, resource leveling, single-mode resource constrained project scheduling, multi-mode resource constrained project scheduling and resource constrained time cost trade-off problems are analyzed. Genetic algorithm simulated annealing, quantum simulated annealing, memetic algorithm, variable neighborhood search, particle swarm optimization, ant colony optimization and electromagnetic scatt
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Meng-FangWu and 吳孟舫. "Multi-mode resources-constrained project scheduling problem with activity waiting time." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/99662373039126789705.

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碩士<br>國立成功大學<br>工業與資訊管理學系碩博士班<br>100<br>To make the project scheduling problem close to realistic situation, multi-mode resources-constrained project scheduling problem (MRCPSP) is extend from the resources constrained project scheduling problem (RCPSP). During the implementation of projects, there are some waiting time limitations between activities. Although the waiting time won’t increase activity processes time directly and consume any renewable resources as well as nonrenewable resources, it affects the starting time of the direct follow-up activity and the total project makespan. This st
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Wei, Ru-san, and 魏汝珊. "The Research of Multi-mode Resource Constrained Project Scheduling Problem in Stochastic Working Time." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/72145782188548163404.

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碩士<br>國立中央大學<br>土木工程研究所<br>100<br>Due to the fast development of global economy, project scheduling is more and more important. Because the project size grows rapidly nowadays, the project scheduling problem is much more complex than before. Traditionally, the critical path method (CPM) and the program evaluation and review technique (PERT) were used to formulate the project scheduling problems. The past time-controlled process for CPM and PERT is neither efficient nor effective from a system perspective, especially due to the short of environment resources recently. Considering of the resourc
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Nudtasomboon, Nudtapon. "Methodology for the multi-objective, resource-constrained project scheduling problem." Thesis, 1993. http://hdl.handle.net/1957/35939.

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This study is concerned with the problem of resource-constrained project scheduling which includes splittable and nonsplittable jobs, renewable and nonrenewable resources, variation in resource availabi1ity, time-resource tradeoff, time-cost tradeoff, and multiple objectives. The problem is formulated as a zero-one integer programming model. A specialized solution technique is developed for the preemptive goal programming, resource-constrained project. scheduling problem for time, cost, and resource leveling objectives. In addition, single objective algorithms are also provided for the time, c
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Chen, Tai-Lin, and 陳泰霖. "Floating Time Consumption Impacts On Multi-Project Resource Constrained Scheduling." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/40143395770738407012.

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碩士<br>國立屏東科技大學<br>工業管理系所<br>100<br>Float time is job’s buffer for project scheduling. If using float is hardly, schedule completion time can delay and cost can loss hard. Most project schedule research focuses on minimize completion time or minimize total cost, the few studies on floating consume affect the project schedule. So this study develops a new Critical Path Method(CPM) for calculating the correct float time, to avoid using errors float time, and reducing impact for completion time. This study applied Ant Colony Optimization (ACO) to establish the best combination and develop resource
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Song, Jin-Ru, and 宋瑾茹. "A Study on the Robust Resource-Constrained Multi-Project Scheduling Problem." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/64929523114990587107.

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碩士<br>國立屏東科技大學<br>工業管理系所<br>96<br>The main purpose of this study is to investigate a bi-objective resource-constrained multi-project scheduling problem. Two objectives are considered: net present value (NPV) maximization and robustness maximization. A mixed integer nonlinear programming (MINLP) model and a particle swarm optimization (PSO) algorithm are presented to solve the bi-objective resource-constrained multi-project scheduling problem. The effectiveness of the proposed PSO algorithm will be demonstrated by comparing it with the MINLP model and some existing rules. The results indicate t
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Buddhakulsomsiri, Jirachai. "Multi-mode resource-constrained project scheduling problem with resource vacations and task splitting." Thesis, 2003. http://hdl.handle.net/1957/31495.

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The research presented in this dissertation addresses the Multi-Mode Resource-Constrained Project Scheduling Problem (MMRCPSP) in the presence of resource unavailability. This research is motivated by the scheduling of engineering design tasks in automotive product development to minimize the project completion time, but addresses a general scheduling situation that is applicable in many contexts. The current body of MMRCPSP research typically assumes that, 1) individual resource units are available at all times when assigning tasks to resources and, 2) before assigning tasks to resources, the
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Lo, Chiao-Yu, and 駱巧瑜. "Solving the Multi-mode Resource-constrained Multi-project Scheduling Problem by Bi-level Programming." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/42309930614264632884.

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碩士<br>淡江大學<br>資訊管理學系碩士班<br>102<br>In practice, project management is often performed in a multi-project context, where individual projects compete for source resources. Moreover, the activities in a project could be accomplished in one out of several execution modes, in which, each execution mode represents an alternative combination of resource requirement of the activity and its duration. This study aims to deal with such a multi-project, multi-mode, and resource-constrained project scheduling problem. Previous studies on multi-project scheduling problems generally assumed that resources can
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Chien, Ming Tu, and 錢明淦. "A Genetic Algorithms for the Resource Constrained Project Scheduling Problem with Multi-Mode." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/14949490672869325225.

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碩士<br>元智大學<br>工業工程研究所<br>87<br>The purport of this article is to develop the heuristic algorithm, which is applicable in the multi-mode and the project scheduling problem of resource constrained, so as to shorten the construction time of the project as much as possible. The developed heuristic algorithm is based on genetic algorithms. We submitted two special encoding technologies to match with appropriate project scheduling so that the problem of illegal offspring could be avoided. Meanwhile, we introduced the idea of using the immigration operator and dynamic and adaptive strategies for vary
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Books on the topic "Resource and time constrained multi-project scheduling problem"

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Franck, Birger. Resource-constrained project scheduling problem with time windows: Structural questions and priority-rule methods. Universität Karlsruhe, 1998.

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Nudtasomboon, Nudtapon. Methodology for the multi-objective, resource-constrained project scheduling problem. 1993.

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A Decomposition Approach for the Multi-Modal, Resource-Constrained, Multi-Project Scheduling Problem with Generalized Precedence and Expediting Resources. Storming Media, 2001.

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Book chapters on the topic "Resource and time constrained multi-project scheduling problem"

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Jędrzejowicz, Piotr, and Aleksander Skakovski. "A Cross-Entropy Based Population Learning Algorithm for Multi-mode Resource-Constrained Project Scheduling Problem with Minimum and Maximum Time Lags." In Computational Collective Intelligence. Technologies and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16693-8_40.

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Saeidi, Arman, Kamran Rezaie, Alireza Nazari, and Amir Hossein Ordibazar. "Proposing a Pre-emptive Resource Constrained Project Scheduling Problem (PRCPSP) Model to Optimize Manpower and Project Delivery Time (A Case Study)." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62784-3_40.

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Coelho, José, and Mario Vanhoucke. "The Multi-Mode Resource-Constrained Project Scheduling Problem." In Handbook on Project Management and Scheduling Vol.1. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05443-8_22.

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Yaghoubi, Saeed, Siamak Noori, and Amir Azaron. "The Markovian Multi-Criteria Multi-Project Resource-Constrained Project Scheduling Problem." In Handbook on Project Management and Scheduling Vol. 2. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05915-0_8.

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Jedrzejowicz, Piotr, and Ewa Ratajczak-Ropel. "A-Team Solving Distributed Resource-Constrained Multi-project Scheduling Problem." In Computational Collective Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98446-9_23.

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Myszkowski, Paweł B., and Jȩdrzej J. Siemieński. "GRASP Applied to Multi–Skill Resource–Constrained Project Scheduling Problem." In Computational Collective Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45243-2_37.

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Zhou, Rong, Chun-ming Ye, and Hui-min Ma. "Model Research of Multi-Objective and Resource-Constrained Project Scheduling Problem." In The 19th International Conference on Industrial Engineering and Engineering Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38427-1_104.

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Pamay, M. Berke, Kerem Bülbül, and Gündüz Ulusoy. "Dynamic Resource Constrained Multi-Project Scheduling Problem with Weighted Earliness/Tardiness Costs." In International Series in Operations Research & Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-9056-2_10.

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Serafini, P., and M. G. Speranza. "A Multi-Stage Decomposition Approach for a Resource Constrained Project Scheduling Problem." In Methodology, Implementation and Applications of Decision Support Systems. Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-2606-6_9.

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Stürck, Christian, and Patrick Gerhards. "Providing Lower Bounds for the Multi-Mode Resource-Constrained Project Scheduling Problem." In Operations Research Proceedings 2016. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55702-1_73.

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Conference papers on the topic "Resource and time constrained multi-project scheduling problem"

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Liu, Wenjian, and Jinghua Li. "Development of Hybrid Genetic Algorithms for the Resource Constrained Multi-Project Scheduling Problem." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85721.

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In multi-project environment, multiple projects share and compete for the limited resources to achieve their own goals. Besides resource constraints, there exist precedence constraints among activities within each project. This paper presents a hybrid genetic algorithm to solve the resource-constrained multi-project scheduling problem (RCMPSP), which is well known NP-hard problem. Objectives described in this paper are to minimize total project time of multiple projects. The chromosome representation of the problem is based on activity lists. The proposed algorithm was operated in two phases.
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Cai, Zhicheng, and Xiaoping Li. "A hybrid genetic algorithm for resource-constrained multi-project scheduling problem with resource transfer time." In 2012 IEEE International Conference on Automation Science and Engineering (CASE 2012). IEEE, 2012. http://dx.doi.org/10.1109/coase.2012.6386457.

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Gnagi, M., T. Rihm, and N. Trautmann. "A Continuous-Time MILP Formulation for the Multi-Mode Resource-Constrained Project Scheduling Problem." In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2018. http://dx.doi.org/10.1109/ieem.2018.8607285.

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Ozturk, Guler, and Adalet Oner. "Continuous Time MILP Models for Multi-Mode Resource Constrained Project Scheduling Problems." In 2020 9th International Conference on Industrial Technology and Management (ICITM). IEEE, 2020. http://dx.doi.org/10.1109/icitm48982.2020.9080355.

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Zhang, Jing-wen, and Hui-fang Shan. "Multi-Mode Double Resource-Constrained Time/Cost Trade-Offs Project Scheduling Problems." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5302886.

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Gnagi, M., and N. Trautmann. "A Continuous-Time Mixed-Binary Linear Programming Formulation for the Multi-Site Resource-Constrained Project Scheduling Problem." In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2019. http://dx.doi.org/10.1109/ieem44572.2019.8978811.

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Cai, Junqi, and Zhihong Peng. "A Heuristic Algorithm for Solving Resource Constrained Project Scheduling Problem with Transfer Time under Resource Bundle." In 2019 Chinese Control Conference (CCC). IEEE, 2019. http://dx.doi.org/10.23919/chicc.2019.8865803.

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Bofill, Miquel, Jordi Coll, Josep Suy, and Mateu Villaret. "Compact MDDs for Pseudo-Boolean Constraints with At-Most-One Relations in Resource-Constrained Scheduling Problems." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/78.

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Pseudo-Boolean (PB) constraints are usually encoded into Boolean clauses using compact Binary Decision Diagram (BDD) representations. Although these constraints appear in many problems, they are particularly useful for representing resource constraints in scheduling problems. Sometimes, the Boolean variables in the PB constraints have implicit at-most-one relations. In this work we introduce a way to take advantage of these implicit relations to obtain a compact Multi-Decision Diagram (MDD) representation for those PB constraints. We provide empirical evidence of the usefulness of this techniq
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Gnagi, M., A. Zimmermann, and N. Trautmann. "A Continuous-Time Unit-Based MILP Formulation for the Resource-Constrained Project Scheduling Problem." In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2018. http://dx.doi.org/10.1109/ieem.2018.8607337.

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Rihm, Tom, and Norbert Trautmann. "An assignment-based continuous-time MILP model for the resource-constrained project scheduling problem." In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. http://dx.doi.org/10.1109/ieem.2017.8289846.

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