Results 121 to 130 of about 22,096 (146)
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Online List Scheduling for Makespan Minimization
ACM SIGACT News, 2022In the modern interactive computing era, computational problems such as scheduling, rout- ing, sequencing, and resource management are online in nature. In the online framework, at the outset, an algorithm receives and processes inputs one by one in order without the knowledge of future inputs, unlike in an offline framework, where an algorithm knows ...
Debasis Dwibedy, Rakesh Mohanty
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Minimizing makespan in parallel flowshops
Journal of the Operational Research Society, 1997Summary: In this study, a new class of proportional parallel flow shop problems with the objective of minimizing the makespan has been addressed. A special case for this problem in which jobs are processed on only one machine as opposed to two or more machines in a flow shop, is the well-known multiple processor problem which is NP-complete.
Sundararaghavan, P. S. +2 more
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Supply Chain Scheduling: Makespan reduction potential
International Journal of Logistics Research and Applications, 2012Specialization, concentration on core competencies, and increasing globalization lead to a situation where competition between big national companies is increasingly replaced by competition between globally operating supply chains (Christopher, 1992; Cooper et al., 1997; Handfield and Nichols, 1999; Barnes, 2006; Vandaele et al., 2007; Stadtler, 2008).
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Minimizing Makespan in No-Wait Job Shops
Mathematics of Operations Research, 2005In this paper, we study polynomial time approximation schemes (PTASes) for the no-wait job shop scheduling problem with the makespan objective function. It is known that the problem is MaxSNP-hard in the case when each job is allowed to have three operations or more. We show that if each job has at most two operations, the problem admits a PTAS if the
Bansal, N., Mahdian, M., Sviridenko, M.
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Rescheduling to minimize makespan under a limit on the makespan of the original jobs
2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010We consider the rescheduling problems arising when two agents, each with a set of nonpreemptive jobs, compete to perform their respective jobs on a common processing resource. Each agent wants to minimize a certain objective function, which depends on the completion time of its jobs only.
null Yundong Mu, null Cunchang Gu
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Exponential size neighborhoods for makespan minimization scheduling
Naval Research Logistics, 2011Summary: We investigate the quality of local search heuristics for the scheduling problem of minimizing the makespan on identical parallel machines. We study exponential size neighborhoods (whose size grows exponentially with the input length) that can be searched in polynomial time, and we derive worst-case approximation guarantees for the local ...
Brueggemann, T. +3 more
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A note on minimum makespan assembly plans
European Journal of Operational Research, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GALLO, GIORGIO ANGELO +1 more
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Minimization of Makespan in Generalized Assignment Problem
OPSEARCH, 1999A quantitative combinatorial search problem consisting of m sources supplying in bulk to n(> m) destinations is considered in this paper. Each destination receives its full quota of a homogeneous product from a single source but a source can supply to many destinations subject to its capacity restrictions.
Arora, Shalini, Puri, M. C.
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Minimization of Makespan Quantiles
2011In this chapter, we consider temporal networks whose task durations are functions of a resource allocation that can be chosen by the decision maker. The goal is to find a feasible resource allocation that minimizes the network’s makespan. We focus on non-renewable resources, that is, the resources are not replenished, and specified resource budgets ...
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ONLINE MINIMUM MAKESPAN SCHEDULING WITH A BUFFER
International Journal of Foundations of Computer Science, 2014In this paper we study an online minimum makespan scheduling problem with a reordering buffer. We obtain the following results: (i) for m > 51 identical machines, we give a 1.5-competitive online algorithm with a buffer of size ⌈1.5m⌉; (ii) for three identical machines, we give an optimal online algorithm with a buffer size six, better than the ...
Ding, Ning +5 more
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