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Journal Cover Logistics
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  This is an Open Access Journal Open Access journal
   ISSN (Online) 2305-6290
   Published by MDPI Homepage  [157 journals]
  • Logistics, Vol. 2, Pages 2: The Supply Chain Has No Clothes: Technology
           Adoption of Blockchain for Supply Chain Transparency

    • Authors: Kristoffer Francisco, David Swanson
      First page: 2
      Abstract: Blockchain technology, popularized by Bitcoin cryptocurrency, is characterized as an open-source, decentralized, distributed database for storing transaction information. Rather than relying on centralized intermediaries (e.g., banks) this technology allows two parties to transact directly using duplicate, linked ledgers called blockchains. This makes transactions considerably more transparent than those provided by centralized systems. As a result, transactions are executed without relying on explicit trust [of a third party], but on the distributed trust based on the consensus of the network (i.e., other blockchain users). Applying this technology to improve supply chain transparency has many possibilities. Every product has a long and storied history. However, much of this history is presently obscured. Often, when negative practices are exposed, they quickly escalate to scandalous, and financially crippling proportions. There are many recent examples, such as the exposure of child labor upstream in the manufacturing process and the unethical use of rainforest resources. Blockchain may bring supply chain transparency to a new level, but presently academic and managerial adoption of blockchain technologies is limited by our understanding. To address this issue, this research uses the Unified Theory of Acceptance and Use of Technology (UTAUT) and the concept of technology innovation adoption as a foundational framework for supply chain traceability. A conceptual model is developed and the research culminates with supply chain implications of blockchain that are inspired by theory and literature review.
      Citation: Logistics
      PubDate: 2018-01-05
      DOI: 10.3390/logistics2010002
      Issue No: Vol. 2, No. 1 (2018)
  • Logistics, Vol. 2, Pages 3: Evaluation of Maintenance and EOL Operation
           Performance of Sensor-Embedded Laptops

    • Authors: Mehmet Dulman, Surendra Gupta
      First page: 3
      Abstract: Sensors are commonly employed to monitor products during their life cycles and to remotely and continuously track their usage patterns. Installing sensors into products can help generate useful data related to the conditions of products and their components, and this information can subsequently be used to inform EOL decision-making. As such, embedded sensors can enhance the performance of EOL product processing operations. The information collected by the sensors can also be used to estimate and predict product failures, thereby helping to improve maintenance operations. This paper describes a study in which system maintenance and EOL processes were combined and closed-loop supply chain systems were constructed to analyze the financial contribution that sensors can make to these procedures by using discrete event simulation to model and compare regular systems and sensor-embedded systems. The factors that had an impact on the performance measures, such as disassembly cost, maintenance cost, inspection cost, sales revenues, and profitability, were determined and a design of experiments study was carried out. The experiment results were compared, and pairwise t-tests were executed. The results reveal that sensor-embedded systems are significantly superior to regular systems in terms of the identified performance measures.
      Citation: Logistics
      PubDate: 2018-01-08
      DOI: 10.3390/logistics2010003
      Issue No: Vol. 2, No. 1 (2018)
  • Logistics, Vol. 2, Pages 4: Acknowledgement to Reviewers of Logistics in

    • Authors: Logistics Editorial Office
      First page: 4
      Abstract: Peer review is an essential part in the publication process, ensuring that Logistics maintains high quality standards for its published papers.[...]
      Citation: Logistics
      PubDate: 2018-01-09
      DOI: 10.3390/logistics2010004
      Issue No: Vol. 2, No. 1 (2018)
  • Logistics, Vol. 2, Pages 1: Impacts of Additive Manufacturing on Supply
           Chain Flow: A Simulation Approach in Healthcare Industry

    • Authors: Eren Özceylan, Cihan Çetinkaya, Neslihan Demirel, Ozan Sabırlıoğlu
      First page: 1
      Abstract: Additive manufacturing (AM) can lead to innovative solutions in traditional supply chain networks (TSCN), which contains very complicated and -hard to manage- chains. With 3D printing technology, a design file can transform directly to a product, skipping many traditional manufacturing steps. Thus, this new application can affect all logistics and supply chain activities positively. The research problem of this paper is to search and assess supply chain changes associated with 3D printing technology adoption to identify the potential impact of AM. To do so, two different supply chain networks, which are TSCN and 3D printing supply chain network (3DPSCN) for healthcare industry are considered. A simulation model is developed to evaluate the potential impact of 3D printing improvements on the configuration of orthopedic insole supply chains. The main contribution of this paper is proposing a simulation model for a healthcare company to compare its 3DPSCN structure with its TSCN version. The results show the concrete benefits such as lead-time and number of customers that can be achieved by 3DPSCN compared to TSCN.
      Citation: Logistics
      PubDate: 2017-12-29
      DOI: 10.3390/logistics2010001
      Issue No: Vol. 2, No. 1 (2017)
  • Logistics, Vol. 1, Pages 8: The Social Investment Capital and the Cargo
           Volume Transported by Sea: A VAR Approach for Vietnam

    • Authors: Nguyen Thi Thuy Hong, Hoang Thi Lich, Bui Thanh Nga
      First page: 8
      Abstract: Social investment capital is one of the factors in Vietnam’s economic growth. It also has a broad impact on many manufacturing and service sectors in the national economy, including maritime transport. This article will apply a quantitative method named vector autoregression (VAR) to define the impacts of social investment capital on the quantity of cargo transported by sea. Special attention will be paid to investment from the government and foreign investors. Recommendations will be suggested to improve the current situation of shipping companies in particular, and the shipping industry in general in Vietnam.
      Citation: Logistics
      PubDate: 2017-09-26
      DOI: 10.3390/logistics1020008
      Issue No: Vol. 1, No. 2 (2017)
  • Logistics, Vol. 1, Pages 9: Third-Party Logistics Providers in the Digital
           Age: Towards a New Competitive Arena'

    • Authors: Erik Hofmann, Florin Osterwalder
      First page: 9
      Abstract: This paper looks at the impact of digitalization on third-party logistics (3PL) business models. An eclectic framework for the analysis of digital disruptions in service industries is elaborated by linking Porter’s five forces to insights from research on digitalization and innovation. Applying this framework to the business field of 3PL reveals that logistics service providers face significant digital hardship from new technologies such as autonomous vehicles and 3D printing as well as from platform-based business models and the sharing economy. We see the following changes in the competitive arena: First, 3PLs focusing on standard services may lose significant market share in the near future. Second, management-related 3PL activities seem to be increasingly offered by new external competitors, which may downgrade 3PLs to simple forwarders. Third, digitalization enables the forward or backward integration of 3PL customers and suppliers when they establish their own services. In addition to its threats, the opportunities of digitalization for 3PLs are discussed. These include the customization of standardized logistics services, the provision of cloud logistics services, platform-based asset and logistics infrastructure sharing, the “physical internet” as a future transportation system and the adoption and integration of 3D printing into existing 3PL business models.
      Citation: Logistics
      PubDate: 2017-11-04
      DOI: 10.3390/logistics1020009
      Issue No: Vol. 1, No. 2 (2017)
  • Logistics, Vol. 1, Pages 10: A Food Transportation Framework for an
           Efficient and Worker-Friendly Fresh Food Physical Internet

    • Authors: Amitangshu Pal, Krishna Kant
      First page: 10
      Abstract: In this paper, we introduce a physical Internet architecture for fresh food distribution networks with the goal of meeting the key challenges of maximizing the freshness of the delivered product and minimizing waste. The physical Internet (PI) architecture is based on the fundamental assumptions of infrastructure sharing among various parties, standardized addressing of all entities and modularized operations. In this paper, we enhance the PI architecture by including a freshness metric and the space-efficient loading/unloading of heterogeneous perishable goods onto the trucks depending on their delivery requirements. We also discuss mechanisms for reducing empty miles of trucks and the carbon footprint of the logistics while reducing the driver’s away-from-home time for long distance delivery. Via extensive simulations, the paper shows that the proposed architecture reduces the driver’s away-from-home time by ∼93%, whereas it improves the food delivery freshness by ∼5%. We show that there is a clear tradeoff between the transportation efficiency of the trucks and the delivery freshness of the food packages.
      Citation: Logistics
      PubDate: 2017-12-04
      DOI: 10.3390/logistics1020010
      Issue No: Vol. 1, No. 2 (2017)
  • Logistics, Vol. 1, Pages 11: Accelerated Benders’ Decomposition for
           Integrated Forward/Reverse Logistics Network Design under Uncertainty

    • Authors: Vahab Vahdat, Mohammad Ali Vahdatzad
      First page: 11
      Abstract: In this paper, a two-stage stochastic programming modelling is proposed, to design a multi-period, multistage, and single-commodity integrated forward/reverse logistics network design problem under uncertainty. The problem involved both strategic and tactical decision levels. The first stage dealt with strategic decisions, which are the number, capacity, and location of forward and reverse facilities. In the second stage, tactical decisions, such as base stock level as an inventory policy, were determined. The generic introduced model consisted of suppliers, manufactures, and distribution centers in forward logistic and collection centers, remanufactures, redistribution, and disposal centers in reverse logistic. The strength of the proposed model is its applicability to various industries. The problem was formulated as a mixed-integer linear programming model and was solved by using Benders’ Decomposition (BD) approach. In order to accelerate the Benders’ decomposition, a number of valid inequalities were added to the master problem. The proposed accelerated BD was evaluated through small-, medium-, and large-sized test problems. Numerical results confirmed that the proposed solution algorithm improved the convergence of BD lower bound and the upper bound, enabling to reach an acceptable optimality gap in a convenient time.
      Citation: Logistics
      PubDate: 2017-12-09
      DOI: 10.3390/logistics1020011
      Issue No: Vol. 1, No. 2 (2017)
  • Logistics, Vol. 1, Pages 12: An Exploration of Big Data Practices in
           Retail Sector

    • Authors: Emel Aktas, Yuwei Meng
      First page: 12
      Abstract: Connected devices, sensors, and mobile apps make the retail sector a relevant testbed for big data tools and applications. We investigate how big data is, and can be used in retail operations. Based on our state-of-the-art literature review, we identify four themes for big data applications in retail logistics: availability, assortment, pricing, and layout planning. Our semi-structured interviews with retailers and academics suggest that historical sales data and loyalty schemes can be used to obtain customer insights for operational planning, but granular sales data can also benefit availability and assortment decisions. External data such as competitors’ prices and weather conditions can be used for demand forecasting and pricing. However, the path to exploiting big data is not a bed of roses. Challenges include shortages of people with the right set of skills, the lack of support from suppliers, issues in IT integration, managerial concerns including information sharing and process integration, and physical capability of the supply chain to respond to real-time changes captured by big data. We propose a data maturity profile for retail businesses and highlight future research directions.
      Citation: Logistics
      PubDate: 2017-12-12
      DOI: 10.3390/logistics1020012
      Issue No: Vol. 1, No. 2 (2017)
  • Logistics, Vol. 1, Pages 3: The Origin and Consistency of the Ton–Mile
           Metric in the Shipping Economics

    • Authors: Okan Duru
      First page: 3
      Abstract: The aim of this paper is to investigate an underpinning of the conventional maritime economics, supply-demand framework, and measurement of shipping services in particular. The ton–mile metric is frequently employed as a measure of demand in both academia and professional readings. On the other hand, the ton–mile measurement approach has various drawbacks and inconsistencies that are thought to be negligible or simply ignored. The incompleteness of the ton–mile metric approach, which is usually taken as granted, is discussed in terms of its origin and historical presence in the literature. Assumptions behind the approach are investigated, and practical limitations are revisited.
      Citation: Logistics
      PubDate: 2017-02-21
      DOI: 10.3390/logistics1010003
      Issue No: Vol. 1, No. 1 (2017)
  • Logistics, Vol. 1, Pages 4: Environmentally Concerned Logistics Operations
           in Fuzzy Environment: A Literature Survey

    • Authors: Ozden Tozanli, Gazi Duman, Elif Kongar, Surendra Gupta
      First page: 4
      Abstract: Growing environmental awareness coupled with stricter governmental regulations has fueled the need for integrating sustainability into supply chain and logistics activities. Accordingly, recent studies in the literature have emphasized the significance of environmentally concerned logistics operations (ECLO). Research in the broad area of ECLO encompasses a wide range of topics including sustainable supply chain, green supply chain, closed-loop supply chain, low-carbon logistics, and waste management. In this paper, a comprehensive content analysis and area review is presented. Over 800 papers published between 1994 and 2017 in peer-reviewed journals, proceedings, and book chapters are utilized. These papers are analyzed in consecutive stages after being reviewed under a structural dimension process that addresses the fields of environmentally concerned logistics operations. Following the state-of-the-art review, a detailed analysis of ECLO research with a special emphasis on fuzzy applications is provided. The findings clearly indicate that the fuzzy multi-criteria decision making technique is a frequently used hybrid method, whereas fuzzy sets theory and other fuzzy hybrid techniques identify a gap in the related literature. This paper provides further critical analysis and other research suggestions in order to clarify these gaps and offer additional research perspectives. This information may provide extensive data that will enable future researchers to fill these gaps within this field.
      Citation: Logistics
      PubDate: 2017-06-13
      DOI: 10.3390/logistics1010004
      Issue No: Vol. 1, No. 1 (2017)
  • Logistics, Vol. 1, Pages 5: Developing Talent from a Supply–Demand
           Perspective: An Optimization Model for Managers

    • Authors: Hadi Moheb-Alizadeh, Robert Handfield
      First page: 5
      Abstract: While executives emphasize that human resources (HR) are a firm’s biggest asset, the level of research attention devoted to planning talent pipelines for complex global organizational environments does not reflect this emphasis. Numerous challenges exist in establishing human resource management strategies aligned with strategic operations planning and growth strategies. We generalize the problem of managing talent from a supply–demand standpoint through a resource acquisition lens, to an industrial business case where an organization recruits for multiple roles given a limited pool of potential candidates acquired through a limited number of recruiting channels. In this context, we develop an innovative analytical model in a stochastic environment to assist managers with talent planning in their organizations. We apply supply chain concepts to the problem, whereby individuals with specific competencies are treated as unique products. We first develop a multi-period mixed integer nonlinear programming model and then exploit chance-constrained programming to a linearized instance of the model to handle stochastic parameters, which follow any arbitrary distribution functions. Next, we use an empirical study to validate the model with a large global manufacturing company, and demonstrate how the proposed model can effectively manage talents in a practical context. A stochastic analysis on the implemented case study reveals that a reasonable improvement is derived from incorporating randomness into the problem.
      Citation: Logistics
      PubDate: 2017-08-03
      DOI: 10.3390/logistics1010005
      Issue No: Vol. 1, No. 1 (2017)
  • Logistics, Vol. 1, Pages 6: Ecologically Friendly Sourcing in Developing
           Countries: A Non-Food Case Study

    • Authors: Sander de Leeuw, Wout Dullaert, Abderrahim Ouaderzan
      First page: 6
      Abstract: The purpose of this paper is to investigate how nearby sourcing versus long-distance sourcing affects the ecological friendliness—operationalized in terms of energy efficiency—of a supply chain for a non-food item in a developing country. Using case research, we show that the average energy needed to supply a pair of imported shoes to a retailer in Morocco is less than the average energy needed to supply a pair of locally produced shoes. These findings highlight the need to assess the true total energy effects of nearby sourcing versus long-distance sourcing since the outcomes of such assessments may be more complicated than they appear upon first glance, particularly in developing countries.
      Citation: Logistics
      PubDate: 2017-08-17
      DOI: 10.3390/logistics1010006
      Issue No: Vol. 1, No. 1 (2017)
  • Logistics, Vol. 1, Pages 7: Effect of Individual Skills and Performance on
           Humanitarian Organisations: A Structural Equation Model

    • Authors: Shanaka Rajakaruna, Alge Wijeratne, Tim Mann, Chen Yan
      First page: 7
      Abstract: The significance of Humanitarian Logistics (HL) skills as basic requirements for employment and career development within the HL field has been demonstrated in previous research by the authors. This research showed a strong relationship between recognised HL skills, individual performance and the HL supply chain. With the increasing number of humanitarian disasters globally, it is essential to determine the correlation between individual performance and humanitarian organisational performance. As with previous research, this paper focuses on HL in the Sri Lankan context. Some limited research has already been undertaken on the subject. However, there were a number of major issues identified during this early research that need to be addressed regarding the effective and efficient operation of humanitarian supply chains. These issues include selecting the right personnel for the job, assessing their performance and building and maintaining measurement indicators to evaluate the performance of the humanitarian organisations. A conceptual model based on a Structural Equation Analysis was deduced from an extensive literature survey and was employed to answer these three interconnected issues. The resultant Structural Equation Model (SEM) was used to analyse the conceptual framework with data being gathered from HL practitioners across Sri Lanka by questionnaire. The existence of a relationship between individual skills and HL performance has been demonstrated previously, but not all skills contribute to individual or organisational performance. This research helps prove earlier theories by other researchers regarding the significance of specific skills for performance. The paper also suggests possible areas of future research.
      Citation: Logistics
      PubDate: 2017-08-25
      DOI: 10.3390/logistics1010007
      Issue No: Vol. 1, No. 1 (2017)
  • Logistics, Vol. 1, Pages 1: Logistics Is about Competitiveness and More

    • Authors: John Kasarda
      First page: 1
      Abstract: Stripped to its basics, logistics is about capturing competitive advantage and creating customer value, not just optimizing costs.[...]
      Citation: Logistics
      PubDate: 2016-09-12
      DOI: 10.3390/logistics1010001
      Issue No: Vol. 1, No. 1 (2016)
  • Logistics, Vol. 1, Pages 2: Preparing for the Era of the Digitally
           Transparent Supply Chain: A Call to Research in a New Kind of Journal

    • Authors: Rob Handfield
      First page: 2
      Abstract: We are commencing a new era in global trade: the era of the digitized supply chain[...]
      Citation: Logistics
      PubDate: 2016-11-24
      DOI: 10.3390/logistics1010002
      Issue No: Vol. 1, No. 1 (2016)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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