FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3203623699> ?p ?o ?g. }

• W3203623699 endingPage "363" @default.
• W3203623699 startingPage "321" @default.
• W3203623699 abstract "Purpose The purpose of this research is to study the Multi-Skill Resource-Constrained Multi-Project Scheduling Problem (MSRCMPSP), where (1) durations of activities depend on the familiarity levels of assigned workers, (2) more efficient workers demand higher per-day salaries, (3) projects have different due dates and (4) the budget of each period varies over time. The proposed model is bi-objective, and its objectives are minimization of completion times and costs of all projects, simultaneously. Design/methodology/approach This paper proposes a two-phase approach based on the Statistical Process Control (SPC) to solve this problem. This approach aims to develop a control chart so as to monitor the performance of an optimizer during the optimization process. In the first phase, a multi-objective statistical model has been used to obtain control limits of this chart. To solve this model, a Multi-Objective Greedy Randomized Adaptive Search Procedure (MOGRASP) has been hired. In the second phase, the MSRCMPSP is solved via a New Version of the Multi-Objective Variable Neighborhood Search Algorithm (NV-MOVNS). In each iteration, the developed control chart monitors the performance of the NV-MOVNS to obtain proper solutions. When the control chart warns about an out-of control state, a new procedure based on the Conway’s Game of Life, which is a cellular automaton, is used to bring the algorithm back to the in-control state. Findings The proposed two-phase approach has been used in solving several standard test problems available in the literature. The results are compared with the outputs of some other methods to assess the efficiency of this approach. Comparisons imply the high efficiency of the proposed approach in solving test problems with different sizes. Practical implications The proposed model and approach have been used to schedule multiple projects of a construction company in Iran. The outputs show that both the model and the NV-MOVNS can be used in real-world multi-project scheduling problems. Originality/value Due to the numerous numbers of studies reviewed in this research, the authors discovered that there are few researches on the multi-skill resource-constrained multi-project scheduling problem (MSRCMPSP) with the aforementioned characteristics. Moreover, none of the previous researches proposed an SPC-based solution approach for meta-heuristics in order to solve the MSRCMPSP." @default.
• W3203623699 created "2021-10-11" @default.
• W3203623699 creator A5007673548 @default.
• W3203623699 creator A5044213463 @default.
• W3203623699 date "2021-10-01" @default.
• W3203623699 modified "2023-10-10" @default.
• W3203623699 title "A two-phase approach for solving the multi-skill resource-constrained multi-project scheduling problem: a case study in construction industry" @default.
• W3203623699 cites W188763149 @default.
• W3203623699 cites W1964219488 @default.
• W3203623699 cites W1966068620 @default.
• W3203623699 cites W1973131489 @default.
• W3203623699 cites W1986254541 @default.
• W3203623699 cites W1988310455 @default.
• W3203623699 cites W1990255796 @default.
• W3203623699 cites W1992202307 @default.
• W3203623699 cites W1998095921 @default.
• W3203623699 cites W2004981689 @default.
• W3203623699 cites W2010212762 @default.
• W3203623699 cites W2010334716 @default.
• W3203623699 cites W2011154880 @default.
• W3203623699 cites W2024742034 @default.
• W3203623699 cites W2033011996 @default.
• W3203623699 cites W2043353332 @default.
• W3203623699 cites W2048424596 @default.
• W3203623699 cites W2050661300 @default.
• W3203623699 cites W2059117750 @default.
• W3203623699 cites W2066758485 @default.
• W3203623699 cites W2068038508 @default.
• W3203623699 cites W2070975460 @default.
• W3203623699 cites W2072836916 @default.
• W3203623699 cites W2083983420 @default.
• W3203623699 cites W2084841915 @default.
• W3203623699 cites W2089055270 @default.
• W3203623699 cites W2098907614 @default.
• W3203623699 cites W2102048265 @default.
• W3203623699 cites W2106334424 @default.
• W3203623699 cites W2116356920 @default.
• W3203623699 cites W2120572648 @default.
• W3203623699 cites W2125899728 @default.
• W3203623699 cites W2135199391 @default.
• W3203623699 cites W2150339680 @default.
• W3203623699 cites W2150446509 @default.
• W3203623699 cites W2235145741 @default.
• W3203623699 cites W2292065149 @default.
• W3203623699 cites W2323892534 @default.
• W3203623699 cites W2485089179 @default.
• W3203623699 cites W2506768821 @default.
• W3203623699 cites W2608191974 @default.
• W3203623699 cites W2616154405 @default.
• W3203623699 cites W2624395990 @default.
• W3203623699 cites W2765831602 @default.
• W3203623699 cites W2783455430 @default.
• W3203623699 cites W2789314892 @default.
• W3203623699 cites W2897543944 @default.
• W3203623699 cites W2900539411 @default.
• W3203623699 cites W2900621362 @default.
• W3203623699 cites W2903145962 @default.
• W3203623699 cites W2907336245 @default.
• W3203623699 cites W2909015409 @default.
• W3203623699 cites W2971617596 @default.
• W3203623699 cites W2976804821 @default.
• W3203623699 cites W3009425491 @default.
• W3203623699 cites W3044139675 @default.
• W3203623699 cites W4243099941 @default.
• W3203623699 cites W4249072291 @default.
• W3203623699 doi "https://doi.org/10.1108/ecam-07-2019-0384" @default.
• W3203623699 hasPublicationYear "2021" @default.
• W3203623699 type Work @default.
• W3203623699 sameAs 3203623699 @default.
• W3203623699 citedByCount "4" @default.
• W3203623699 countsByYear W32036236992022 @default.
• W3203623699 countsByYear W32036236992023 @default.
• W3203623699 crossrefType "journal-article" @default.
• W3203623699 hasAuthorship W3203623699A5007673548 @default.
• W3203623699 hasAuthorship W3203623699A5044213463 @default.
• W3203623699 hasConcept C105795698 @default.
• W3203623699 hasConcept C111919701 @default.
• W3203623699 hasConcept C113644684 @default.
• W3203623699 hasConcept C126255220 @default.
• W3203623699 hasConcept C147764199 @default.
• W3203623699 hasConcept C154945302 @default.
• W3203623699 hasConcept C190812933 @default.
• W3203623699 hasConcept C196985124 @default.
• W3203623699 hasConcept C206729178 @default.
• W3203623699 hasConcept C2775924081 @default.
• W3203623699 hasConcept C33923547 @default.
• W3203623699 hasConcept C41008148 @default.
• W3203623699 hasConcept C98045186 @default.
• W3203623699 hasConceptScore W3203623699C105795698 @default.
• W3203623699 hasConceptScore W3203623699C111919701 @default.
• W3203623699 hasConceptScore W3203623699C113644684 @default.
• W3203623699 hasConceptScore W3203623699C126255220 @default.
• W3203623699 hasConceptScore W3203623699C147764199 @default.
• W3203623699 hasConceptScore W3203623699C154945302 @default.
• W3203623699 hasConceptScore W3203623699C190812933 @default.
• W3203623699 hasConceptScore W3203623699C196985124 @default.
• W3203623699 hasConceptScore W3203623699C206729178 @default.
• W3203623699 hasConceptScore W3203623699C2775924081 @default.

• next