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Journal articles on the topic 'Multi-period scheduling'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Zhu, Ze Lei, Wen Wen Wang, Qiang Li, Cui Hui Yan, and Sai Dai. "Multi-Period Generation Scheduling Optimization Model and its Application." Advanced Materials Research 614-615 (December 2012): 850–56. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.850.

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Generation scheduling depended on accurate boundary conditions. Before the actual implementation, optimization result of day-ahead schedule was needed to be rolling corrected by two periods of intraday scheduling and real-time scheduling. It was key problem to establish optimization models which adapt to different dispatch period and coordinate different period generation scheduling for to achieving the best optimization results. This paper first discussed coordination mode of different period generation scheduling; Then, the mathematical models were established for day-ahead scheduling, intra

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Cerrone, Carmine, Benjamin Dussault, Bruce Golden, and Edward Wasil. "Multi-period street scheduling and sweeping." International Journal of Metaheuristics 3, no. 1 (2014): 21. http://dx.doi.org/10.1504/ijmheur.2014.058862.

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Núñez-del-Toro, Cristina, Elena Fernández, Jörg Kalcsics, and Stefan Nickel. "Scheduling policies for multi-period services." European Journal of Operational Research 251, no. 3 (2016): 751–70. http://dx.doi.org/10.1016/j.ejor.2015.12.002.

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4

Van Ackere, Ann. "Scheduling as a multi-person, multi-period decision problem." Socio-Economic Planning Sciences 28, no. 3 (1994): 147–65. http://dx.doi.org/10.1016/0038-0121(94)90002-7.

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5

Kabra, Shaurya, Munawar A. Shaik, and Anurag S. Rathore. "Multi-period scheduling of a multi-stage multi-product bio-pharmaceutical process." Computers & Chemical Engineering 57 (October 2013): 95–103. http://dx.doi.org/10.1016/j.compchemeng.2013.03.009.

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6

Khodaei, Amin. "Microgrid Optimal Scheduling With Multi-Period Islanding Constraints." IEEE Transactions on Power Systems 29, no. 3 (2014): 1383–92. http://dx.doi.org/10.1109/tpwrs.2013.2290006.

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7

Mahmoudzadeh, Houra, Akram Mirahmadi Shalamzari, and Hossein Abouee-Mehrizi. "Robust multi-class multi-period patient scheduling with wait time targets." Operations Research for Health Care 25 (June 2020): 100254. http://dx.doi.org/10.1016/j.orhc.2020.100254.

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8

El-meehy, Ahmed Othman, Amin K. El-Kharbotly, and Mohammed M. El-Beheiry. "Joint lot sizing and scheduling of a multi-product multi-period supply chain." Independent Journal of Management & Production 10, no. 5 (2019): 1516. http://dx.doi.org/10.14807/ijmp.v10i5.959.

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The joint lot sizing and scheduling problem can be considered as an evolvement of the joint economic lot size problem which has drawn researchers’ interests for decades. The objective of this paper is to find the effect of a capacitated multi-period supply chain design parameters on joint lot sizing and scheduling decisions for different holding and penalty costs. The supply chain deals with two raw materials suppliers. The production facility produces two products which are shipped to customers through distribution centers. A mathematical model is developed to determine optimum quantities of

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Huang, Yu, Weizhen Hou, Yiran Huang, et al. "Multi-Objective Optimal Operation for Steam Power Scheduling Based on Economic and Exergetic Analysis." Energies 13, no. 8 (2020): 1886. http://dx.doi.org/10.3390/en13081886.

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Steam supply scheduling (SSS) plays an important role in providing uninterrupted reliable energy to meet the heat and electricity demand in both the industrial and residential sectors. However, the system complexity makes it challenging to operate efficiently. Besides, the operational objectives in terms of economic cost and thermodynamic efficiency are usually contradictory, making the online scheduling even more intractable. To this end, the thermodynamic efficiency is evaluated based on exergetic analysis in this paper, and an economic-exergetic optimal scheduling model is formulated into a

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Zhou, Yawen, Jing Liu, Yutong Zhang, and Xiaohui Gan. "A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems." Transportation Research Part E: Logistics and Transportation Review 99 (March 2017): 77–95. http://dx.doi.org/10.1016/j.tre.2016.12.011.

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Vali-Siar, Mohammad Mahdi, Saiedeh Gholami, and Reza Ramezanian. "Multi-period and multi-resource operating room scheduling under uncertainty: A case study." Computers & Industrial Engineering 126 (December 2018): 549–68. http://dx.doi.org/10.1016/j.cie.2018.10.014.

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12

Rattanamanee, Tarit, and Suebsak Nanthavanij. "Multi-period and multi-workday workforce scheduling for manufacturing workstations with multiple workers." International Journal of Industrial and Systems Engineering 49, no. 3 (2025): 293–314. https://doi.org/10.1504/ijise.2025.145059.

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13

Li, Sheng Yi, Yi Yao Yeh, and Feng Tai Hwang. "Mission Track Coordination Based Multi-Objective Optimization for Multi-Satellite Imaging Scheduling." Applied Mechanics and Materials 284-287 (January 2013): 1494–98. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1494.

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Satellite imaging scheduling is a complicated task been developed to ideally satisfy all requests under various constraints. A considerable amount of theoretical work has been carried out on single- or multi-satellite scheduling problems based on single-objective optimization. On the other hand, concerning multi-objective optimization in a multi-satellite scheduling scenario, few theoretical analyses have been performed. In this paper, we propose a novel imaging scheduling algorithm of multi-objective optimization for multi-satellite (MOO-MS). The concept of orbit coordination is introduced an

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14

Shen, Huaxiao, Shengnan Shu, Hu Qin, and Qinghua Wu. "An exact algorithm for the multi-period inspector scheduling problem." Computers & Industrial Engineering 145 (July 2020): 106515. http://dx.doi.org/10.1016/j.cie.2020.106515.

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15

Kim, Jung-Ug, and Yeong-Dae Kim. "A decomposition approach to a multi-period vehicle scheduling problem." Omega 27, no. 4 (1999): 421–30. http://dx.doi.org/10.1016/s0305-0483(98)00067-x.

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16

Zäpfel, Günther, and Michael Bögl. "Multi-period vehicle routing and crew scheduling with outsourcing options." International Journal of Production Economics 113, no. 2 (2008): 980–96. http://dx.doi.org/10.1016/j.ijpe.2007.11.011.

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17

Wisittipanich, Warisa, Chawis Boonmee, Krit Khwanngern, and Wichai Chattinnawat. "A Mathematical Model for Multi-Period Surgical Scheduling with Capacity Constraint." International Journal of Global Optimization and Its Application 1, no. 3 (2022): 190–95. http://dx.doi.org/10.56225/ijgoia.v1i3.70.

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This study proposes a mathematical model for multi-period surgical scheduling problem with capacity constraint over a time horizon. The goal is to schedule a list of patients who must undergo various kinds of operations by different eligible hospitals. In particular, each operation must be performed in a particular time period and different operations of one patient can be performed by different eligible hospitals. In addition, each hospital has limited surgery capacity for each time period. The problem is formulated with a multi-objective model using the weighted sum approach of two objective

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18

Zhao, Jijun, Siyuan Gao, Danping Ren, Zhihua Li, and Liang Xue. "A multi-period joint energy scheduling algorithm in smart home based on prediction of the residents energy consumption." World Journal of Engineering 12, no. 2 (2015): 135–48. http://dx.doi.org/10.1260/1708-5284.12.2.135.

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In this paper, considering a tradeoff between consumers comfort and energy efficiency, a multi-period joint energy scheduling algorithm (MPJ-ESA) based on prediction of residents energy consumption is proposed, which includes long-period preliminary sch eduling, short-period preliminary scheduling, and real-time fine-tuning scheduling. First, by analyzing historical data of energy consumption, preferred usage profile of consumers is inferred, and the dynamic comfort level is presented. Then the paper uses the wavelet neural networks (WNNs) prediction algorithm to predict the operation of the a

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19

Noori, S., M. Bagherpour, F. Zorriassatine, A. Makui, and R. Parkin. "A new project scheduling approach for improving multi-product multi-period production planning problems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 11 (2008): 1517–27. http://dx.doi.org/10.1243/09544054jem1081.

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The problem of matching production levels for individual products to demand fluctuations during multiple periods is known in the production planning literature as the multi-product multi-period (MPMP) problem. Linear programming (LP)-based solutions have been extensively reported in this respect. MPMP problems are commonly solved by using either analytic or simulation methods. More recently, hybrid solutions consisting of both analytical models and simulation analysis have been proposed where some operational criteria, e.g. the order of visit to machining centres, are taken into account. In th

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Wisittipanich, Warisa, Chawis Boonmee, Krit Khwanngern, and Wichai Chattinnawat. "The Multi-Period Surgical Scheduling with Capacity Constraint: A Mathematical Modelling Approach." International Journal of Global Optimization and Its Application 1, no. 2 (2022): 120–25. http://dx.doi.org/10.56225/ijgoia.v1i2.21.

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This research proposes a mathematical model for multi-period surgical scheduling problem with capacity constraint over a particular time horizon. The goal is to schedule a list of patients who must undergo various kinds of operations by different eligible hospitals. In particular, each operation must be performed in a particular time period and different operations of one patient can be performed by different eligible hospitals. In addition, each hospital has limited surgery capacity for each time period. The problem is formulated with a multi-objective model using the weighted sum approach of

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21

Yao, Huan, Hao Lou, Dan Wang, Yijun Chen, and Ying Luo. "Adaptive Resource Scheduling Algorithm for Multi-Target ISAR Imaging in Radar Systems." Remote Sensing 16, no. 9 (2024): 1496. http://dx.doi.org/10.3390/rs16091496.

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Inverse synthetic-aperture radar (ISAR) can achieve precise imaging of targets, which enables precise perception of battlefield information, and it has become one of the most important tasks for radar systems. In multi-target scenarios, a resource scheduling method is required to improve the sensing ability and the overall efficiency of a radar system due to the limited resources. Considering the motion state of the target will change as the observation distance increases and image defocusing can occur due to the prolonged coherence accumulation time and significant changes in the target’s mot

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22

Tawarmalani, Mohit, and Yanjun Li. "Multi-period maintenance scheduling of tree networks with minimum flow disruption." Naval Research Logistics (NRL) 58, no. 5 (2011): 507–30. http://dx.doi.org/10.1002/nav.20455.

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23

Qin, Hu, Wei Ming, Zizhen Zhang, Yubin Xie, and Andrew Lim. "A tabu search algorithm for the multi-period inspector scheduling problem." Computers & Operations Research 59 (July 2015): 78–93. http://dx.doi.org/10.1016/j.cor.2015.01.003.

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24

Wang, Xiong, Zhijun Yang, and Hongwei Ding. "Application of Polling Scheduling in Mobile Edge Computing." Axioms 12, no. 7 (2023): 709. http://dx.doi.org/10.3390/axioms12070709.

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With the Internet of Things (IoT) development, there is an increasing demand for multi-service scheduling for Mobile Edge Computing (MEC). We propose using polling for scheduling in edge computing to accommodate multi-service scheduling methods better. Given the complexity of asymmetric polling systems, we have used an information-theoretic approach to analyse the model. Firstly, we propose an asymmetric two-level scheduling approach with priority based on a polling scheduling approach. Secondly, the mathematical model of the system in the continuous time state is established by using the embe

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25

Adewole Mark Adegbola, Ademola David Adeyeye, Oliver Ekepre Charles-Owaba, and Oladunni Sarah Okunade. "Contiguous-cells transportation model for multi-objective non-pre-emptive production and maintenance scheduling." Global Journal of Engineering and Technology Advances 5, no. 3 (2020): 036–49. http://dx.doi.org/10.30574/gjeta.2020.5.3.0059.

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The long-standing issue of non-pre-emption in ‘multi-period’ production/maintenance (P/M) scheduling has always been a challenge and this has been the focus of many researchers. Recently, the Contiguous-Cells Transportation Model (CCTM) was proposed to address this problem. However, the CCTM is limited to non-pre-emptive P/M scheduling decision situations where only one objective is of concern. The multiple objective non-pre-emptive P/M scheduling are encountered more frequently in the real world than the single objective case. This study proposed the Multi-Objective Contiguous-Cells Transport

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26

Adewole, Mark Adegbola, David Adeyeye Ademola, Ekepre Charles-Owaba Oliver, and Sarah Okunade Oladunni. "Contiguous-cells transportation model for multi-objective non-pre-emptive production and maintenance scheduling." Global Journal of Engineering and Technology Advances 5, no. 3 (2020): 036–49. https://doi.org/10.5281/zenodo.4478434.

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The long-standing issue of non-pre-emption in ‘multi-period’ production/maintenance (P/M) scheduling has always been a challenge and this has been the focus of many researchers. Recently, the Contiguous-Cells Transportation Model (CCTM) was proposed to address this problem. However, the CCTM is limited to non-pre-emptive P/M scheduling decision situations where only one objective is of concern. The multiple objective non-pre-emptive P/M scheduling are encountered more frequently in the real world than the single objective case. This study proposed the Multi-Objective Contiguous-Cel

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27

Babaei, M., M. Mohammadi, S. M. T. Fatemi Ghomi, and M. A. Sobhanallahi Sobhanallahi. "Solving Multi-level, Multi-product and Multi-period Lot Sizing and Scheduling Problem in Permutation Flow Shop." International Journal of Science and Engineering Applications 02, no. 06 (2013): 130–40. http://dx.doi.org/10.7753/ijsea0206.1004.

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28

Tian, Zhongda. "Deadband feedback-based scheduling approach for networked control system with variable sampling period." Transactions of the Institute of Measurement and Control 43, no. 6 (2021): 1478–500. http://dx.doi.org/10.1177/0142331220981427.

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Reasonable information scheduling strategies in the networked control system (NCS) can improve the quality of service of the network, reduce the conflict of information transmission in the network, and improve the overall performance of the NCS. In order to improve the performance of the NCS, a deadband feedback-based scheduling approach for the NCS with a variable sampling period is proposed. For the NCS with multi control loops, considering the limitation of network bandwidth resources, the dynamic real-time adjustment of a multi-loop sampling period is achieved through network utilization p

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29

Punyakum, Voravee, Kanchana Sethanan, Krisanarach Nitisiri, and Rapeepan Pitakaso. "Hybrid Particle Swarm and Whale Optimization Algorithm for Multi-Visit and Multi-Period Dynamic Workforce Scheduling and Routing Problems." Mathematics 10, no. 19 (2022): 3663. http://dx.doi.org/10.3390/math10193663.

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This paper focuses on the dynamic workforce scheduling and routing problem for the maintenance work of harvesters in a sugarcane harvesting operation. Technician teams categorized as mechanical, hydraulic, and electrical teams are assumed to have different skills at different levels to perform services. The jobs are skill-constrained and have time windows. During a working day, a repair request from a sugarcane harvester may arrive, and as time passes, the harvester’s position may shift to other sugarcane fields. We formulated this problem as a multi-visit and multi-period dynamic workforce sc

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30

WATANABE, Fumiya, Takahiro KAWAGUCHI, Takayuki ISHIZAKI, Hideaki TAKENAKA, Takashi Y. NAKAJIMA, and Jun-ichi IMURA. "Machine Learning Approach to Day-ahead Scheduling for Multi-period Energy Markets." Transactions of the Society of Instrument and Control Engineers 55, no. 10 (2019): 593–601. http://dx.doi.org/10.9746/sicetr.55.593.

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31

Qian-Qian, Duan, Yang Gen-Ke, and Pan Chang-Chun. "Multi-period Planning of Refinery Crude Oil Scheduling Problem with Fluctuating Demands." IFAC Proceedings Volumes 46, no. 13 (2013): 313–20. http://dx.doi.org/10.3182/20130708-3-cn-2036.00095.

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32

Klassen, Kenneth J., and Thomas R. Rohleder. "Outpatient appointment scheduling with urgent clients in a dynamic, multi‐period environment." International Journal of Service Industry Management 15, no. 2 (2004): 167–86. http://dx.doi.org/10.1108/09564230410532493.

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33

Coco, Amadeu A., Christophe Duhamel, and Andréa Cynthia Santos. "Modeling and solving the multi-period disruptions scheduling problem on urban networks." Annals of Operations Research 285, no. 1-2 (2019): 427–43. http://dx.doi.org/10.1007/s10479-019-03248-5.

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34

Chen, Xi, Barrett W. Thomas, and Mike Hewitt. "Multi-period technician scheduling with experience-based service times and stochastic customers." Computers & Operations Research 82 (June 2017): 1–14. http://dx.doi.org/10.1016/j.cor.2016.12.026.

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35

Chang, Jiang, and Guang Wen Ma. "Research on Multi-Objective Reservoir Optimal Operation Based on Adaptive Genetic Algorithms." Advanced Materials Research 926-930 (May 2014): 2042–45. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2042.

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The comprehensive reservoir scheduling is based on multi-objective reservoir operation, should try to coordinate between each target scheduling of progression. In this paper, based on the characteristics of scheduling period, this paper proposes a reservoir optimal operation based on adaptive genetic algorithm solution of the problem. Because of the adaptive genetic algorithm can during evolution according to individual fitness and dispersion degree of genetic control parameters are adjusted automatically, can better solve encountered in the application of the standard genetic algorithm in the

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36

Zhang, Tao, Yue Wang, Xin Jin, and Shan Lu. "Integration of Production Planning and Scheduling Based on RTN Representation under Uncertainties." Algorithms 12, no. 6 (2019): 120. http://dx.doi.org/10.3390/a12060120.

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Production planning and scheduling are important bases for production decisions. Concerning the traditional modeling of production planning and scheduling based on Resource-Task Network (RTN) representation, uncertain factors such as utilities are rarely considered as constraints. For the production planning and scheduling problem based on RTN representation in an uncertain environment, this paper formulates the multi-period bi-level integrated model of planning and scheduling, and introduces the uncertainties of demand and utility in planning and scheduling layers respectively. Rolling horizo

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37

Wang, Zhangquan, Yourong Chen, Banteng Liu, Haibo Yang, Ziyi Su, and Yunkai Zhu. "A sensor node scheduling algorithm for heterogeneous wireless sensor networks." International Journal of Distributed Sensor Networks 15, no. 1 (2019): 155014771982631. http://dx.doi.org/10.1177/1550147719826311.

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To improve the regional coverage rate and network lifetime of heterogeneous wireless sensor networks, a sensor node scheduling algorithm for heterogeneous wireless sensor networks is proposed. In sensor node scheduling algorithm, heterogeneous perception radius of sensor node is considered. Incomplete coverage constraint and arc coverage interval are analyzed. Regional coverage increment optimization model, arc coverage increment optimization model, and residual energy optimization model are proposed. Multi-objective scheduling model is established using weight factors and integrated function.

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38

Alipour, Zohreh, Fariborz Jolai, Ehsan Monabbati, and Nima Zaerpour. "General lot-sizing and scheduling for perishable food products." RAIRO - Operations Research 54, no. 3 (2020): 913–31. http://dx.doi.org/10.1051/ro/2019021.

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General lot-sizing and scheduling is a well-studied problem in the literature, but for perishable or time-sensitive products is less investigated. Also, most of studies on perishable product supply chains focus on strategic and tactical decision levels rather than operational decision level and integrated operational and tactical decision levels. We focus on a general lot-sizing and scheduling problem faced by perishable food products. The lifespan and shelf life are two important key features of perishable products that are considered in the problem. This problem can be described as a multi-p

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Krityakierne, Tipaluck, Onkanya Limphattharachai, and Wasakorn Laesanklang. "Nurse-patient relationship for multi-period home health care routing and scheduling problem." PLOS ONE 17, no. 5 (2022): e0268517. http://dx.doi.org/10.1371/journal.pone.0268517.

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This article proposes a novel dynamic objective function in a multi-period home health care (HHC) problem, known as the nurse-patient relationship (NPR). The nurse-patient relationship score indicating the trust a patient has for his or her care worker increases when the same people meet regularly and decreases when they are apart. Managing human resources in HHC is a combination of routing and scheduling problems. Due to computational complexity of the HHC problem, a 28-day home health care problem is decomposed into daily subproblems, and solved sequentially with the tabu search. The solutio

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Yoo, J., and A. Garcia-Diaz. "Cost-effective selection and multi-period scheduling of pavement maintenance and rehabilitation strategies." Engineering Optimization 40, no. 3 (2008): 205–22. http://dx.doi.org/10.1080/03052150701686937.

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Khalili-Damghani, Kaveh, Madjid Tavana, Francisco J. Santos-Arteaga, and Mahdokht Ghanbarzad-Dashti. "A customized genetic algorithm for solving multi-period cross-dock truck scheduling problems." Measurement 108 (October 2017): 101–18. http://dx.doi.org/10.1016/j.measurement.2017.05.027.

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He, Yujun, and Marc Petit. "Demand response scheduling to support distribution networks operation using rolling multi-period optimization." Journal of Process Control 74 (February 2019): 13–22. http://dx.doi.org/10.1016/j.jprocont.2018.07.005.

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43

Fernández, Elena, Jörg Kalcsics, and Cristina Núñez-del-Toro. "A branch-and-price algorithm for the Aperiodic Multi-Period Service Scheduling Problem." European Journal of Operational Research 263, no. 3 (2017): 805–14. http://dx.doi.org/10.1016/j.ejor.2017.06.008.

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Li, Shuanglin, and Kok Lay Teo. "Post-disaster multi-period road network repair: work scheduling and relief logistics optimization." Annals of Operations Research 283, no. 1-2 (2018): 1345–85. http://dx.doi.org/10.1007/s10479-018-3037-2.

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Wu, Wei, Shao-jie Ni, and Fei-xue Wang. "A Method for Scheduling Receiver Tasks Based on Maximum Allowed Execution Time Dichotomy Search." Journal of Navigation 64, S1 (2011): S83—S90. http://dx.doi.org/10.1017/s0373463311000464.

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In designing and developing navigation receiver embedded software, the correct scheduling of navigation tasks is critical for ensuring that a receiver works in the right way. If a receiver's timing scheduling becomes abnormal, it may lead to timing conflicts of the multi-tasking navigation receiver, which may seriously influence the system's performance of real-time features and functionalities. This paper models the timing scheduling of navigation receivers by extracting all important timing parameters including the execution time, period, deadline and priority etc., and focusing on the execu

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Dou, Jianping, Chun Su, and Xia Zhao. "Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system." Concurrent Engineering 28, no. 1 (2020): 32–46. http://dx.doi.org/10.1177/1063293x19898727.

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A reconfigurable manufacturing system can evolve its configuration to offer exactly the capacity and functionality needed for every demand period. For the reconfigurable manufacturing system with multi-part flow-line configuration simultaneously producing multiple parts within the same family, the production cost and the delivery time are closely related to its configuration and corresponding scheduling for certain demand period. Although studies on multi-part flow-line configuration design are abundant, studies on concurrent optimization of configuration design and scheduling for reconfigurab

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47

Ma, Cheng Jia, and Jian Xu Lu. "Research on Electrical Engineering with a Multi Energy-Type Coordinated Micro-Grid Day-Ahead Scheduling Strategy Based on IPSO Algorithm." Advanced Materials Research 1003 (July 2014): 119–23. http://dx.doi.org/10.4028/www.scientific.net/amr.1003.119.

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This paper establishes a micro-grid (MG) model containing a variety of distributed energies, battery, combined cooling, heating and power (CCHP) and so on, and puts forward a method using improved PSO (IPSO) algorithm for a multi energy-type coordinated MG day-ahead scheduling. One day is divided into two time periods, including time of peak period (TOP) and time of valley period (TOV). According to the scheduled time period and state of charge (SOC) of the storage units, different types of scheduling strategies are adopted. Based on the standard PSO algorithm, improved PSO algorithm proposed

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TASKIN, BARIS, and IVAN KOURTEV. "MULTI-PHASE ROTARY CLOCK SYNCHRONIZATION OF LEVEL-SENSITIVE CIRCUITS." Journal of Circuits, Systems and Computers 18, no. 05 (2009): 899–908. http://dx.doi.org/10.1142/s0218126609005423.

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Resonant clocking technologies provide clock networks with improved frequency, jitter and power dissipation characteristics, however, often require novel automation routines. Resonant rotary clocking technology, for instance, entails multi-phase and nonzero clock skew operation and supports latch-based design. This paper studies the effects of multi-phase synchronization schemes on the minimum clock period for rotary-clock-synchronized circuits, which necessitate the application of clock skew scheduling and employ level-sensitive registers. In experimentation, single, dual, three- and four-pha

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Madsen, Bjorn, George Rzevski, Petr Skobelev, and Alexander Tsarev. "A Strategy for Managing Complexity of the Global Market and Prototype Real-Time Scheduler for LEGO Supply Chain." International Journal of Software Innovation 1, no. 2 (2013): 28–39. http://dx.doi.org/10.4018/ijsi.2013040103.

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The paper describes main features of a strategy for managing complexity of the global market and real-time scheduling multi-agent system designed for the LEGO Company. The design is based on Multi-Agent Technology Group (MATech) own strategy blueprint and multi-agent platform, which provide real-time adaptive event-driven scheduling to replenish products to LEGO Branded Retail stores. The prototype system has been used to schedule 20 US-based LEGO retail outlets for a yearlong trial period and has achieved the following results: • Reduction of lost sale from 40% to 16%; • Increase in service l

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Banaszak, Zbigniew, and Grzegorz Bocewicz. "Declarative Modeling for Production Order Portfolio Scheduling." Foundations of Management 6, no. 3 (2014): 7–24. http://dx.doi.org/10.1515/fman-2015-0014.

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Abstract A declarative framework enabling to determine conditions as well as to develop decision-making software supporting small- and medium-sized enterprises aimed at unique, multi-project-like and mass customized oriented production is discussed. A set of unique production orders grouped into portfolio orders is considered. Operations executed along different production orders share available resources following a mutual exclusion protocol. A unique product or production batch is completed while following a given activity’s network order. The problem concerns scheduling a newly inserted pro

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