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 Subjects -> PHYSICS (Total: 801 journals)     - ELECTRICITY AND MAGNETISM (9 journals)    - MECHANICS (21 journals)    - NUCLEAR PHYSICS (49 journals)    - OPTICS (86 journals)    - PHYSICS (578 journals)    - SOUND (25 journals)    - THERMODYNAMICS (33 journals) PHYSICS (578 journals)            First | 1 2 3 | Last
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 Flexible Services and Manufacturing Journal   [SJR: 1.325]   [H-I: 34]   [1 followers]  Follow         Hybrid journal (It can contain Open Access articles)    ISSN (Print) 1936-6582 - ISSN (Online) 1936-6590    Published by Springer-Verlag  [2345 journals]
• Improved critical chain buffer management framework considering resource
costs and schedule stability
• Authors: Xuejun Hu; Erik Demeulemeester; Nanfang Cui; Jianjiang Wang; Wendi Tian
Pages: 159 - 183
Abstract: The critical chain scheduling and buffer management (CC/BM) methodology has proven to be a favorable approach to schedule resource-constrained projects and to offer a valuable control tool for monitoring projects under uncertainty. The previous studies on CC/BM seem to have neglected the cost performance, which might render its wider applications to the modern economic activities that are mostly performed in a project way. This paper presents an improved CC/BM framework that allows additional resource allocation/reallocation to bring forward activity starting times based on cost and schedule stability criteria. In the planning phase, the decision is made concerning the regular resource availability period in order to minimize the expected resource costs. In the execution phase, a scheduled order repair method for rescheduling along with two reactive resource allocation procedures as the corrective action whenever delays are beyond a certain buffer threshold are presented and examined in order to exhibit a comprehensive project schedule/cost control system that is adaptive to the CC/BM management logic. Finally, our computational experiment demonstrates the benefits of the proposed reactive methods under different cost or availability parameters.
PubDate: 2017-06-01
DOI: 10.1007/s10696-016-9241-y
Issue No: Vol. 29, No. 2 (2017)

• Solving integrated production and condition-based maintenance planning
problems by MIP modeling
• Authors: Fahimeh Shamsaei; Mathieu Van Vyve
Pages: 184 - 202
Abstract: It has been demonstrated that integrating maintenance scheduling and production planning can lead to substantial savings. However in these works the associated optimization problems are solved by enumerating all (exponentially many) maintenance schedules. This has led these researchers to either solve instances of very small sizes, or consider cyclic maintenance schedules only to limit the possibilities to a small (polynomial) number. We show here how to formulate these problems as (strong) mixed-integer linear programs, and then solve them using off-the-shelve MIP solvers. We demonstrate the efficiency of the proposed approach to solve problems of up to 10 products and 24 time periods, sizes that were simply unreachable before. We also illustrate the value of using non-cyclic maintenance schedules when the demand varies over time, with savings of up to 41 % compared to cyclic schedules.
PubDate: 2017-06-01
DOI: 10.1007/s10696-016-9244-8
Issue No: Vol. 29, No. 2 (2017)

• Shift scheduling with break windows, ideal break periods, and ideal
waiting times
• Authors: Banu Sungur; Cemal Özgüven; Yasemin Kariper
Pages: 203 - 222
Abstract: This paper is concerned with the shift scheduling problem involving multiple breaks with different durations and multiple break windows for each shift. We have incorporated ideal break periods and ideal waiting time into the original problem previously presented in the literature. As an extension of the implicit integer programming model with a single goal of minimizing the labor cost, we have proposed an implicit preemptive goal programming model involving three goals, which are given in order of their priority levels as follows: (1) minimize the labor cost; (2) maximize the number of employees that receive their breaks at ideal break periods; (3) make the waiting times of the employees between their consecutive breaks equal to the ideal waiting time, i.e. minimize the deviations from ideal waiting time. The ideal waiting time is incorporated into the model implicitly by matching the periods within the break windows. We aim at improving the break schedules through a more sensitive timing of the breaks, without causing an increase in the labor cost. The computational results obtained on randomly generated test problems indicate that the extended model may yield considerable improvement in the break placement.
PubDate: 2017-06-01
DOI: 10.1007/s10696-015-9234-2
Issue No: Vol. 29, No. 2 (2017)

• Solving the pre-marshalling problem to optimality with A* and IDA*
• Authors: Kevin Tierney; Dario Pacino; Stefan Voß
Pages: 223 - 259
Abstract: We present a novel solution approach to the container pre-marshalling problem using the A* and IDA* algorithms combined with several novel branching and symmetry breaking rules that significantly increases the number of pre-marshalling instances that can be solved to optimality. A* and IDA* are graph search algorithms that use heuristics combined with a complete graph search to find optimal solutions to problems. The container pre-marshalling problem is a key problem for container terminals seeking to reduce delays of inter-modal container transports. The goal of the container pre-marshalling problem is to find the minimal sequence of container movements to shuffle containers in a set of stacks such that the resulting stacks are arranged according to the time each container must leave the stacks. We evaluate our approach on three well-known datasets of pre-marshalling problem instances, solving over 500 previously unsolved instances to optimality, which is nearly twice as many instances as the current state-of-the-art method solves.
PubDate: 2017-06-01
DOI: 10.1007/s10696-016-9246-6
Issue No: Vol. 29, No. 2 (2017)

• Enhancement of supply chain resilience through inter-echelon information
sharing
• Authors: Haobin Li; Giulia Pedrielli; Loo Hay Lee; Ek Peng Chew
Pages: 260 - 285
Abstract: Supply chains in the globally interconnected society have complex structures and thus are susceptible to disruptions such as natural disasters and diseases. The impact of the risks and disruptions that occur to one business entity can propagate to the entire supply chain. However, it has been proposed that cooperation amongst business entities can mitigate the impact of the risks. This paper aims to investigate the value of information sharing in a generalized three-echelon supply chain. The supply chain model is built in a system dynamics software, and three decision-making rules based on different levels of information sharing are developed. Performances of the three ordering policies with shock applied are compared. The results of the experiments prove the value of information sharing in the supply chain when shock exists.
PubDate: 2017-06-01
DOI: 10.1007/s10696-016-9249-3
Issue No: Vol. 29, No. 2 (2017)

• Flexibility design in loss and queueing systems: efficiency of k -chain
configuration
• Authors: Jingui Xie; Yiming Fan; Mabel C. Chou
Pages: 286 - 308
Abstract: Process flexibility has altered operations in manufacturing and service companies significantly. For instance, auto-mobile manufacturers use flexible production systems to meet uncertain demands effectively, and workforce flexible systems with cross-training are presently common in service industries. This paper studies k-chain configuration in both loss systems and queueing systems. We derive performance measures such as percent of customers loss and average customer waiting time. In the symmetric case, we numerically test the effects of k , system size and traffic intensity on flexibility design. The major conclusion is that 2-chain is no longer effective in loss systems although it still performs well in queueing systems.
PubDate: 2017-06-01
DOI: 10.1007/s10696-016-9251-9
Issue No: Vol. 29, No. 2 (2017)

• Simulation modelling in ports and container terminals: literature overview
and analysis by research field, application area and tool
• Authors: Branislav Dragović; Ernestos Tzannatos; Nam Kuy Park
Pages: 4 - 34
Abstract: The simulation modelling of shore- and sea-side port operations constitutes a fundamental prerequisite for effective project planning in port development, as the influence of numerous often interactive parameters has to be addressed at an early stage to account for the optimum supply of port facilities and services to current and future demand. This paper presents a detailed review of the available research literature on the application of simulation models in port development, through extensive reference to published journal papers from the onset of the relevant simulation modelling and through the course of the past 54 years (1961–2015). With focus on container terminals, this review aims at analysing the use of port related simulation models and ultimately at assessing their contribution into building the research knowledge necessary to promote sustainable ship-port interfaces and freight transport chains. It was found that over the past 50 years the use of simulation models has been increasingly favoured and instrumental in the development of ports and more specifically of container terminals. Most of the research literature addresses operational issues, accounting for its highest concentration and coherence in the research field of operations research, although the need to utilise the wide-ranging capabilities of simulation modelling in order to offer integrated solutions is recently promoting the dissemination of the relevant literature through sector-specific (i.e. transport and maritime) research fields. Finally, the observed tendency to employ simulation tools which offer the most realistic results reflects the research effort to ensure that simulation modelling offers tangible solutions to the maritime and transport industry.
PubDate: 2017-03-01
DOI: 10.1007/s10696-016-9239-5
Issue No: Vol. 29, No. 1 (2017)

• Inter-terminal transportation: an annotated bibliography and research
agenda
• Authors: Leonard Heilig; Stefan Voß
Pages: 35 - 63
Abstract: The seemingly unlimited growth of containerized transport is nowadays associated with an increasing number of seaport container terminals and facilities as well as demand for port-centric value-added and just-in-time logistics services. Intense global and local competition as well as geographical limitations urgently require efficient means to handle inter-terminal transportation. Many factors influence the productivity and efficiency of inter-terminal transportation as well as its economic and environmental implications. In the last two decades, these aspects have led to a growing interest in research, in particular concerning decision analytics and innovative information technology aiming to better understand, improve, and operate inter-terminal transportation. In this paper, we present a chronological overview of related works as an annotated bibliography in order to reflect the current state of research. Furthermore, we identify future research issues and propose a respective research agenda.
PubDate: 2017-03-01
DOI: 10.1007/s10696-016-9237-7
Issue No: Vol. 29, No. 1 (2017)

• A flexible crane scheduling methodology for container terminals
• Authors: Guvenc Dik; Erhan Kozan
Pages: 64 - 96
Abstract: In this paper, we propose a flexible neighbourhood search strategy for quay crane scheduling problems based on the framework of tabu search (TS) algorithm. In the literature, the container workload of a ship is partitioned into a number of fixed jobs to deal with the complexity of the problem. In this paper, we propose flexible jobs which are dynamically changed by TS throughout the search process to eliminate the impact of fixed jobs on the generated schedules. Alternative job sequences are investigated for quay cranes and a new quay crane dispatching policy is developed to generate schedules. Computational experiments conducted with problem instances available in the literature showed that our algorithm is capable of generating quality schedules for quay crane handling operations at reasonable times.
PubDate: 2017-03-01
DOI: 10.1007/s10696-016-9264-4
Issue No: Vol. 29, No. 1 (2017)

• A cooperative quay crane-based stochastic model to estimate vessel
handling time
• Authors: Vibhuti Dhingra; Debjit Roy; René B. M. de Koster
Pages: 97 - 124
Abstract: Having a good estimate of a vessel’s handling time is essential for planning and scheduling container terminal resources, such as berth positions, quay cranes (QCs) and transport vehicles. However, estimating the expected vessel handling time is not straightforward , because it depends on vessel characteristics, resource allocation decisions, and uncertainties in terminal processes. To estimate the expected vessel handling time, we propose a two-level stochastic model. The higher level model consists of a continuous-time Markov chain (CTMC) that captures the effect of QC assignment and scheduling on vessel handling time . The lower level model is a multi-class closed queuing network that models the dynamic interactions among the terminal resources and provides an estimate of the transition rate input parameters to the higher level CTMC model. We estimate the expected vessel handling times for several container load and unload profiles and discuss the effect of terminal layout parameters and crane service time variabilities on vessel handling times. From numerical experiments, we find that by having QCs cooperate, the vessel handling times are reduced by up to 15 %. The vessel handling time is strongly dependent on the variation in the QC service time and on the vehicle travel path topology.
PubDate: 2017-03-01
DOI: 10.1007/s10696-015-9225-3
Issue No: Vol. 29, No. 1 (2017)

• Delivery mode planning for distribution to brick-and-mortar retail stores:
discussion and literature review
• Authors: Sara Martins; Pedro Amorim; Bernardo Almada-Lobo
Abstract: In the retail industry, there are multiple products flowing from different distribution centers to brick-and-mortar stores with distinct characteristics. This industry has been suffering radical changes along the years and new market dynamics are making distribution more and more challenging. Consequently, there is a pressure to reduce shipment sizes and increase the delivery frequency. In such a context, defining the most efficient way to supply each store is a critical task. However, the supply chain planning decision that tackles this type of problem, delivery mode planning, is not well defined in the literature. This paper proposes a definition for delivery mode planning and analyzes multiple ways retailers can efficiently supply their brick-and-mortar stores from their distribution centers. The literature addressing this planning problem is reviewed and the main interdependencies with other supply chain planning decisions are discussed.
PubDate: 2017-05-15
DOI: 10.1007/s10696-017-9290-x

• A solution approach for deriving alternative fuel station infrastructure
requirements
• Authors: Roel M. Post; Paul Buijs; Michiel A. J. uit het Broek; Jose A. Lopez Alvarez; Nick B. Szirbik; Iris F. A. Vis
Abstract: When an alternative fuel is introduced, the infrastructure through which that fuel is made available to the market is often underdeveloped. Transportation service providers relying on such infrastructures are unlikely to adopt alternative fuel vehicles as it may impose long detours for refueling. In this paper, we design and apply a new solution approach to derive minimum infrastructure requirements, in terms of the number of alternative fuel stations. The effectiveness of our approach is demonstrated by applying it to the case of introducing liquefied natural gas (LNG) as a transportation fuel in The Netherlands. From this case, we learn that, depending on the driving range of the LNG trucks and the size of area on which those trucks operate, a minimum of 5–12 LNG fuel stations is necessary to render LNG trucks economically and environmentally beneficial.
PubDate: 2017-04-21
DOI: 10.1007/s10696-017-9289-3

• Sustainable sourcing of strategic raw materials by integrating recycled
materials
• Authors: Patricia Rogetzer; Lena Silbermayr; Werner Jammernegg
Abstract: In this paper we investigate a manufacturer’s sustainable sourcing strategy that includes recycled materials. To produce a short life-cycle electronic good, strategic raw materials can be bought from virgin material suppliers in advance of the season and via emergency shipments, as well as from a recycler. Hence, we take into account virgin and recycled materials from different sources simultaneously. Recycling makes it possible to integrate raw materials out of steadily increasing waste streams back into production processes. Considering stochastic prices for recycled materials, stochastic supply quantities from the recycler and stochastic demand as well as their potential dependencies, we develop a single-period inventory model to derive the order quantities for virgin and recycled raw materials to determine the related costs and to evaluate the effectiveness of the sourcing strategy. We provide managerial insights into the benefits of such a green sourcing approach with recycling and compare this strategy to standard sourcing without recycling. We conduct a full factorial design and a detailed numerical sensitivity analysis on the key input parameters to evaluate the cost savings potential. Furthermore, we consider the effects of correlations between the stochastic parameters. Green sourcing is especially beneficial in terms of cost savings for high demand variability, high prices of virgin raw material and low expected recycling prices as well as for increasing standard deviation of the recycling price. Besides these advantages it also contributes to environmental sustainability as, compared to sourcing without recycling, it reduces the total quantity ordered and, hence, emissions are reduced.
PubDate: 2017-04-05
DOI: 10.1007/s10696-017-9288-4

• Integration of order picking and vehicle routing in a B2C e-commerce
context
• Authors: Stef Moons; Katrien Ramaekers; An Caris; Yasemin Arda
Abstract: E-commerce sales are increasing every year and customers who buy goods on the Internet have high service level expectations. In order to meet these expectations, a company’s logistics operations need to be performed carefully. Optimizing only internal warehouse processes will often lead to suboptimal solutions. The interrelationship between the order picking process and the delivery process should not be ignored. Therefore, in this study, an order picking problem and a vehicle routing problem with time windows and release dates are solved simultaneously using a single optimization framework. To the best of our knowledge, it is the first time that an order picking problem and a vehicle routing problem are integrated. A mixed integer linear programming formulation for this integrated order picking-vehicle routing problem (OP-VRP) is provided. The integrated OP-VRP is solved for small instances and the results are compared to these of an uncoordinated approach. Computational experiments show that integration can lead to cost savings of 14% on average. Furthermore, higher service levels can be offered by allowing customers to request their orders later and still get delivered within the same time windows.
PubDate: 2017-03-31
DOI: 10.1007/s10696-017-9287-5

• A stochastic approach for designing two-tiered emergency medical service
systems
• Authors: Rania Boujemaa; Aida Jebali; Sondes Hammami; Angel Ruiz; Hanen Bouchriha
Abstract: Emergency medical services (EMS) systems provide out-of-hospital acute medical care and transportation to the appropriate health care provider to patients with illnesses and injuries. The objective of EMS systems is to satisfy demand requests by providing timely first care medical assistance to patients at the incident scene. This paper aims at designing a robust two-tiered EMS system while accounting for the inherent uncertainty of the demand. A two-stage stochastic programming location-allocation model is proposed to simultaneously determine the location of ambulance stations, the number and the type of ambulances to be deployed, and the demand areas served by each station. This problem is then solved efficiently using the sampling average approximation algorithm. Computational experiments highlight the performance of the proposed solution approach and its practical applicability.
PubDate: 2017-03-22
DOI: 10.1007/s10696-017-9286-6

• Cooperative liner shipping network design by means of a combinatorial
auction
• Authors: Tobias Buer; Rasmus Haass
Abstract: Cooperation in the ocean liner shipping industry has always been important to improve liner shipping networks (LSN’s). As tight cooperations like alliances are challenged by antitrust laws, looser forms of cooperation among liner carriers might become a reasonable way to increase efficiency of LSN’s. Our goal is to facilitate a loose form of cooperation among liner carriers. Therefore, we introduce a coordination mechanism for designing a collaborative LSN based on a multi round combinatorial auction. Via the auction, carriers exchange demand triplets, i.e. orders which describe the transport of containers between ports. A standard network design problem which includes ship scheduling and cargo routing decisions is used as isolated network design problem of an individual carrier. A carrier has to solve this isolated problem repeatedly during the auction so that the carrier is able to decide which demand triplets to sell, on which demand triplets to bid, and what prices to charge. To solve these problems we propose a variable neighborhood search based matheuristic. The matheuristic addresses the isolated planning problem in four phases (construct ship cycles, modify cycles, determine container flow, and reallocate ships to cycles). Our computational experiments on a set of 56 synthetic test instances suggest that the introduced combinatorial auction increases profits on average compared to isolated planning significantly by 4%. The more diverse the original assignment of demand triplets and ships to carriers is, the higher the potential for collaboration; for 18 diverse instances, the profits increase on average by 10%.
PubDate: 2017-03-18
DOI: 10.1007/s10696-017-9284-8

• The Cargo Fare Class Mix problem for an intermodal corridor: revenue
management in synchromodal container transportation
• Authors: Bart van Riessen; Rudy R. Negenborn; Rommert Dekker
Abstract: The intermodal hinterland transportation of maritime containers is under pressure from port authorities and shippers to achieve a more integrated, efficient network operation. Current optimisation methods in literature yield limited results in practice, though, as the transportation product structure limits the flexibility to optimise network logistics. Synchromodality aims to overcome this by a new product structure based on differentiation in price and lead time. Each product is considered as a fare class with a related service level, allowing to target different customer segments and to use revenue management for maximising revenue. However, higher priced fare classes come with tighter planning restrictions and must be carefully balanced with lower priced fare classes to match available capacity and optimise network utilisation. Based on the developments of intermodal networks in North West European, such as the network of European Gateway Services, the Cargo Fare Class Mix problem is proposed. Its purpose is to set limits for each fare class at a tactical level, such that the expected revenue is maximised, considering the available capacity at the operational level. Setting limits at the tactical level is important, as it reflects the necessity of long-term agreements between the transportation provider and its customers. A solution method for an intermodal corridor is proposed, considering a single intermodal connection towards a region with multiple destinations. The main purpose of the article is to show that using a limit on each fare class increases revenue and reliability, thereby outperforming existing fare class mix policies, such as Littlewood.
PubDate: 2017-03-16
DOI: 10.1007/s10696-017-9285-7

• Modular Petri net modeling of healthcare systems
• Authors: Cristian Mahulea; Liliana Mahulea; Juan Manuel García Soriano; José Manuel Colom
Abstract: This paper presents a modular approach for modeling healthcare systems using Petri nets. It is shown that a healthcare system can be constructed by different modules whose inputs and outputs are connected according to their geographical location. Each module can be modeled in two phases: (1) obtain the sequences of treatments and cares received by a patient in the case of a particular disease/condition, and (2) add the resources necessary to perform the previous sequences. The global model is obtained by fusion the inputs and outputs of the modules and by adding information on the patients. The constructed modules together with the resources are Petri nets belonging to a new subclass called healthcare Petri nets that is proved to have equivalent behavior with $$S^4{\textit{PR}}$$ nets, a well-known class of Resource Allocation Systems. This allows us to apply the structural results already existing in the literature for $$S^4{\textit{PR}}$$ to the context of healthcare systems. In order to illustrate the results, a case study of a public healthcare area in Zaragoza is considered as a use case.
PubDate: 2017-03-11
DOI: 10.1007/s10696-017-9283-9

• Maritime and container logistics
• Authors: Rommert Dekker; René de Koster; Kap Hwan Kim
PubDate: 2017-02-02
DOI: 10.1007/s10696-017-9281-y

• Acknowledgement to reviewers
• PubDate: 2017-01-04
DOI: 10.1007/s10696-016-9272-4

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