The journals in the list below have been accepted for publication in Operations and Supply Chain Management: An International Journal. We are currently in the process of assigning each of these entries into our upcoming issue. Once published, you can access the corresponding article for free through our repository. Please feel free to contact us via Contact Us page or our email for any inquiries.
1. Towards a sustainable Reverse Logistics framework / typologies based on Radio Frequency Identification (RFID) Author(s):
Muhammad Usama (TAQ Logistics Organization, Pakistan),
Asher Ramish (University of Management and Technology, Lahore, Pakistan)
In the past, CLSCs were not considered as value creating chains due to complexities and uncertainties in the product returns until the introduction of RFID in SC, which has made the product visibility possible in the CLSCs and has overcome the issues of uncertainties in product returns. Although typologies have been developed by Ville Hinkka, Maiju Häkkinen, Jan Holmström, Kary Främling (2015) to configure RFID in the forward SC, yet there is a lack of research to configure RFID in RL/CLSC. So the objective of this paper is to develop the typology and propose the framework for configuring RFID in the CLSC/RL by categorizing the products based on RFID tagging and correspondingly finding the place of tagging RFID to the products in the CLSC/RL on the basis of product category in order to attain sustainability in an efficient and effective manner. As this is a conceptual paper so a comprehensive literature review was conducted and various RL/CLSC frameworks were reviewed to develop the typologies to configure RFID in CLSC/RL to make the reverse logistical channel sustainable and efficient. Two typologies (pre-tagging and post-tagging) regarding deployment of RFID in sustainable and CLSC/RL are developed along with categorization of products as single-piece and multi-piece products followed by a proposed conceptual framework for RFID configuration in Reverse Logistics domain. As the typologies developed and framework proposed for configuring RFID in sustainable and CLSC / RL are based on literature review, therefore empirical study is required to validate the framework. The outcomes for configuring RFID in sustainable and CLSC / RL include: improvement in product visibility; improvement in forecasting accuracy; reduction in inventory cost; improvement in customer satisfaction; improvement in profit along with market share and reduction in pollution. Thus, transforming CLSCs from non-value creating chains to value creating chains.
2. Healthcare Quality and Hospital Financial Performance: A Multilevel Framework Author(s):
Subhajit Chakraborty (Coastal Carolina University, Conway, South Carolina, USA)
Given the recent reports on much-needed healthcare quality improvement in the U.S. we suggest that it is now time to adopt a systemic perspective to measuring quality in U.S. healthcare and tracking it closely to hospital financial performance. Using Donabedian’s (1966, 1968, 1988) Structure-Process-Outcome (SPO) classification we attempt to offer a multi-level conceptual framework tying in the antecedents to and outcomes of patient care quality that can be used by U.S. hospitals to improve the quality of care available to patients and ensure their own viability over the long run. We also address the measurement challenges for a future empirical measurement and conclude with implications for healthcare research and the medical practitioners and U.S. hospitals.
3. Quality Management as Driver of Vertical Integration in Service Chain: A Study of 3rd Party Logistics Industry Author(s):
Mohammad Shaiq (Greenwich University, Pakistan),
S. Khurram K. Alwi (Greenwich University, Pakistan),
Sadia Shaikh (Greenwich University, Pakistan),
Zobia Zaman (Greenwich University, Pakistan)
Third Party Logistics (3PL) is one of the fastest growing service industry but still the impact of the application of Quality Management Practices (QMPs) particularly on the integration capability of 3PL service providers in the supply chain is not a well-researched topic. Especially in the context of Pakistan, very little empirical work is found dealing with this very important service competency of 3PL. This research is carried out to determine how QMPs help 3PL Service Providers achieving integration competency in the service chain. The quality management dimensions of internationally recognized Malcolm Baldrige National Quality (MBNQ) model are used as independent variable to assess their impact on the integration competency of 3PLs in Pakistan. Considering the typical business culture and industry environment in Pakistan, the effect of Social Capital and Companies’ Internal Strength as moderating variables was also observed. Using questionnaire as a tool, the quantitative data on various items for latent constructs was collected from more than 176 logistics firms of Pakistan. Results clearly identified the Strategic Planning, HR Management Focus and Process Management as the factors highly impacting Integration Competency of 3PL service providers in Pakistan. Interestingly, but surprisingly, the role of Leadership and Knowledge Management was insignificant in this particular setting. The moderating variable also showed a significant impact on integration competency. This study highlighted the areas where logistics firms in their individual capacity and logistics industry as a whole should immediately concentrate to enhance this important competency.
4. Look before You Leap: Economics of being an Omnichannel Retailer Author(s):
Kushal Saha (Indian Institute of Management Calcutta, India),
Subir Bhattacharya (Indian Institute of Management Calcutta, India)
This paper investigates how the market gets segmented when an omnichannel retailer enters a market hitherto served by non-omnichannel retailers. The added value derived from the omnichannel flexibility is expected to draw more customers to an omnichannel retailer, luring them away from the incumbent non-omnichannel peers. However, the customers are expected to be heterogeneous in their valuation of the omnichannel flexibilities offered. Also, since acquiring omnichannel flexibility entails additional costs for service integration, the omnichannel aspirant is expected to charge a higher price from the customers than its non-omnichannel competitors. Our model considers both these factors, and derives analytical expression for the expected market share of the omnichannel retailer as a function of the price charged by the non-omnichannel peers, the extent of flexibility provided, and the cost of providing the same. Also, given the cost of service integration, we estimate the level of flexibility that an omnichannel retailer must offer if it wants to acquire a specific market share. The findings indicate that the associated integration cost imposes a restriction on the maximum market share an omnichannel entrant can aspire to capture.
5. The Influence of Supply Chain Process Integration on Firm Performance Author(s):
Yaw Agyabeng-Mensah (Dalian Maritime University, China),
Esther Nana Konadu Ahenkorah (Regent University College of Science and Technology, Ghana)
Today’s competitive business environment has caused firms to abandon the use of traditional ways of improving performances. This has resulted in the search for many drivers of performance by both academicians and practitioners. This study examines the impact of supply chain management information systems on supply chain process integration and tests both individual and collaborative effects of supply chain process integration, customer satisfaction, and competitive advantage on the performance of firms. A survey was conducted using 275 supply chain and logistics managers who work in small and medium enterprises in Ghana. The data is collected using structured questionnaires. The explicit relationships between supply chain management information systems, supply chain process integration, customer satisfaction, competitive advantage and firm performance are proven using smartpls 3.2.8. The results suggests that the supply chain management information systems positively and significantly influences supply chain process integration. Again, the findings suggest that supply chain process integration, competitive advantage and customer satisfaction combine to significantly influence performance of firms. This is an indication that supply chain process integration instantaneously creates both customer satisfaction and competitive advantage, which reflects in the firm performances.
6. Application of the just-in-time approach to a third-generation port Author(s):
Yulia Panova (Emperor Alexander I St. Petersburg State Transport University, Russia),
Per Hilletofth (Jönköping University, Sweden),
Arina Panova (ITMO University, Russia),
Xu Hongsheng (Luoyang Normal University, China )
This paper investigates the feasibility of different logistics concepts applicable in a third-generation port (first-and-foremost, just-in-time approach for a given case). In this regard, a simulation model imitating the work of a real third-generation port was developed. Four experiments with proposed logistics solutions have been configured and evaluated in the simulation model. They differed by the size and number of shipping consignments to the port, deployed truck fleet, etc. The research shows that effective material transfers from the plant to the port can be provided, if a ‘pulling’ type of logistics system is applied instead of traditional ‘pushing’ system. This alternative allows goods to be delivered just-in-time with the minimum labour costs and material resources.
7. A FRAMEWORK FOR EXPLORING BLOCKCHAIN TECHNOLOGY IN SUPPLY CHAIN MANAGEMENT Author(s):
Abbas Batwa (Lund University, Sweden),
Andreas Norrman (Lund University, Sweden)
The purpose of the study is to identify and explore different applications of blockchain technology in supply chain management, and suggest a framework for their analysis. The study addresses researchers’ conflicting opinions regarding the hype of blockchain, and clarifies which minor applications are hyped and which are currently more applicable. That helps supply chain practitioners appraise the different applications of blockchains before it is too late to revise a decision regarding their use. The framework was developed based on a systematic literature review of blockchain-related articles, and it was examined with semi-structured interviews with four companies that applied the technology. Findings from the study suggested that traceability and supply chain finance seemed to be the most applicable applications of blockchain technology in supply chain management. But, light was also shed on other applications such as: compliance with standards, supply chain integration and digitalization of the transactions. This study was restricted by the availability of applied cases, as blockchain remains an emerging technology. Therefore, this study cannot be considered a case research, but a literature review followed by a limited number of interviews. However, the study resulted in a conceptual framework that forms the basis for further exploratory studies with more empirical data.
8. DIGITAL MUDA - THE NEW FORM OF WASTE BY INDUSTRY 4.0. Author(s):
Jamila Alieva (Gavle University, Kungsbäcksvägen 47, 801 76 Gävle, Sweden),
Robin von Haartman (Gavle University, Kungsbäcksvägen 47, 801 76 Gävle, Sweden)
Lean management is an approach where value is created through the reduction of waste. Eight forms of waste were identified by the Toyota Company as worth considereding while managing an efficient production process: overproduction, waiting, transport, over processing, inventory, movement, defects, and unused creativity. Modern manufacturing plants are being transformed by Industry 4.0, the fourth industrial revolution, which promotes a wide variety of technological solutions to increase innovativeness and competitive advantages. Technological solutions are created on the basis of data that must be analyzed to enable manufacturers to be more strategic in the decision-making process and generate new profit channels through data analytics. A conceptual framework was developed to investigate if the inefficient usage of data has a negative impact on manufacturing performance through the decision-making process. Semi-structured interviews were conducted in two leading manufacturing companies in Sweden that are following lean principles. A new form of waste, digital waste, was defined. This paper suggests considering digital waste as a new type of muda (waste), which is its theoretical contribution. From a practical perspective, the results of the paper encourage practitioners to pay extra attention to data analytics, work on the reduction of digital waste and establish new revenue channels based on data analysis.
9. Supply Chain Network Design and Tactical Planning in the Dimension Stone Industry Author(s):
Gangaraju Vanteddu (Southeast Missouri State University, USA),
Gillian M. Nicholls (Southeast Missouri State University, USA)
A dimension stone supply chain has certain unique characteristics despite having many similarities to a typical manufacturing/processing industry supply chain. Examples of these characteristics include the multitude of dimension stone varieties dispersed over large geographical regions, variable raw dimension stone sizes due to the varying rock deposit quality, and variability in physical stone properties among different varieties. The hardness, texture, fracture, cleavage, and chemical composition vary between dimension stones of different varieties. These unique characteristics produce multi-dimensional complexity in modelling different processes from the rock excavation stage to the retail store stage. In this research, a dimension stone supply chain is analyzed from strategic and tactical perspectives that address the issues of supply chain network design and production planning. This research reflects the specific characteristics of a dimension stone supply chain that differentiate it from other mineral commodity supply chains. A Mixed Integer Linear Programming (MILP) based formulation is proposed to model the capacitated facility location problem to aid in the supply chain network design, and a linear programming-based model is proposed to address material transformation related supply chain process issues to facilitate medium-term tactical planning. Detailed numerical analyses are also presented to illustrate the proposed mathematical models.
10. Data Analytics in the Supply Chain Management: Review of Machine Learning Applications in Demand Forecasting Author(s):
Luh Putu Eka (Eka Yani),
I Made Alan (Priyatna)
In today’s fast-paced global economy coupled with the availability of mobile internet and social networks, several business models have been disrupted. This disruption brings with it a whole list of opportunities and challenges for organizations and the domain of supply chain management. Given the availability of big data, data analytics is needed to convert data into meaningful information which plays an important role in supply chain management. One of the disruptive data analytics techniques which are predicted to impact growth, employment, and inequality in the market is automation of knowledge work, or better known as machine learning. In this paper, we focused on comprehensively overviewing machine learning applications in demand forecasting and underlying its potential role in improving the supply chain efficiency. A total of 1870 papers were retrieved from Scopus and Web of Science databases based on our string query related to machine learning. A reduced total of 79 papers focusing on demand forecasting were comprehensively reviewed and used for the analysis in this study. The result showed that neural network, artificial neural network, support vector regression, and support vector machine were among the most widely used algorithms in demand forecasting with 27%, 22%, 18%, and 10% respectively. This accounted for 77% of the total reviewed articles. Most of the machine learning application (65%) was applied in the industry sector and a limited number of articles (5%) discussed the agriculture sector. The practical implication of this paper is in exposing the current machine learning issues in the industry to help stakeholders and decision-makers better plan transformation actions.
11. EXPLORING THE IMPACT OF INNOVATIVENESS OF HOSPITALITY SERVICE OPERATION ON CUSTOMER SATISFACTION Author(s):
Service Innovation is critical for service improvement and development that enhance customer satisfaction. Besides the importance of technology and tangible products, innovativeness leverages customer satisfaction by stimulating their five senses perception. Service-Dominant Logic emphasises the role of innovativeness in service delivery in alignment with customer perception to create Service Innovation. In other words, innovativeness involves the innovative service clues that drive customer perception when experiencing the intangible values of the operation. Despite the importance of innovativeness, studies for the issue appear to be limited and are especially scarce on qualitative research technique. Thus, this study aims to explore the impact of innovativeness on customer satisfaction in the case of hotel operations as qualitative research. A set of propositions are generated based on relevant works of literature and an approximate of one thousand reviews on the TripAdvisor website. The reviewers were international customers of 20 boutique hotels in Vietnam. The thematic analysis with deductive approach was employed to determine the key themes of Innovativeness that influence customer satisfaction. The findings suggest a conceptual model about the influences of 1) Innovative Humanic Clues, 2) Innovative Mechanic Clues and 3) Innovative Functional Clues on the customer’s Transaction-Specific Satisfaction. The model explains how customers perceive innovativeness through the five senses and their evaluation on the innovativeness of the operations. The study, therefore, addresses the importance of innovativeness in service operation management to satisfy customer expectation for a new experience.
12. A robust optimization for multi-period lost-sales inventory control problem Author(s):
Shunichi Ohmori (Waseda University, Japan),
Kazuho Yoshimoto (Waseda University, Japan)
We consider a periodic review inventory control problem of minimizing inventory cost, production cost, and lost-sales under demand uncertainty, in which product demands are not specified exactly and it is only known to belong to a given uncertainty set. We propose a robust optimization formulation for obtaining lowest cost possible and guaranteeing the feasibility with respect to range of order quantity and inventory level for possible values of the data from the uncertainty set. Our formulation is based on the affinely adaptive robust counterpart, which suppose order quantity is affine function of past demands. We derive certainty equivalent problem via second-order cone programming, which gives 'not too pessimistic' worst-case.
13. Local and organic food distribution systems: towards a future agenda Author(s):
Yinef Pardillo Baez (Jönköping University, Sweden),
Movin Sequeira (Jönköping University, Sweden),
Per Hilletofth (Jönköping University and University of Gävle, Sweden)
There has been an increasing consumer demand for local and organic food as they are considered to be more sustainable, ecological and healthier. The ‘conventional’ long food distribution system is not sufficient to fulfill the current needs. Consequently, short distribution systems for local and organic food have been gaining popularity, that is not only sustainable but also contributes to food security and satisfies local consumer demand. One such short distribution systems are alternative food networks (AFNs). The AFNs have emerged as a promising provisioning system for local and organic food that promotes economical, environmental and social sustainability and respect for farming tradition. However, the AFNs are facing challenges in increasing the distribution of local and organic food in the long term. The purpose of the paper is to make a review of the existing short food distribution systems for local and organic food and propose a research agenda. In order to achieve this, a literature review is conducted and different food distribution channels within AFNs are studied. The challenges for each food distribution channel are identified and then compared to ‘conventional’ distribution systems. The main finding of the study is a framework of main challenges of short food distribution channels within AFNs. The practical implication is generic criteria to consider while designing a short food distribution system that closely connects consumers and farmers of local and organic food. The policy implication is to create favorable conditions to encourage short food distribution systems in the long term.
14. Supply Chain Risk Governance: Towards a Conceptual Multi-Level Framework Author(s):
Victoria Ahlqvist (Lund University, Sweden ),
Andreas Norrman (Lund University, Sweden ),
Marianne Jahre (Lund University, Sweden and BI Norwegian Business School, Norway)
A core question in supply chain management asks how independent decision-makers at many levels can work together and how this joint work can be governed. Supply chain risk management (SCRM), however, has focused mostly on how focal private companies apply SCRM processes to identify, analyse and mitigate risk related to upstream and downstream flows in their supply networks. At the same time, inter-organisational collaboration to handle diverse risks is always needed. A risk that hits one organisation often affects other, interconnected organisations. This study aims to develop the term supply chain risk governance with an associated conceptual framework that embraces various types of supply chains and actors. In a cross-disciplinary literature study, we dissect, compare and combine risk governance with inter-organisational aspects of SCRM and find that the mechanisms suggested in the risk governance literature coincide with many of those in SCRM. We suggest a combination of these to govern risk processes at an inter-organisational level, regardless of the type of organisation included in the supply chain. This would be suitable for critical infrastructures that often contain a mixture of private and public actors. The scope of the literature employed is limited, and some articles have played a larger role in the framework development. The paper explores new territory through this cross-disciplinary study, extends existing multi-level frameworks with inter-organisational governance mechanisms and proposes new governance mechanisms to the field. This study could support the understanding of how critical infrastructures in our society are governed so as to increase their resilience.
15. Novel Implementation of Multiple Automated Ground Vehicles Traffic Real Time Control Algorithm for Warehouse Operation: Djikstra Approach Author(s):
Pasan Dharmasiri (RMIT University Vietnam),
Ilya Kavalchuk (RMIT University Vietnam),
Mohammadreza Akbari (RMIT University Vietnam)
Automated Guided Vehicle (AGV) systems are being used in many industrial warehouses for parts transferring processes and facing major challenges in the management of traffic between multiple AGVs. AGV traffic control system with an anti-collision path planning algorithm can increase the efficiency of the part transferring process in the warehouse. This paper discusses and compares several path planning algorithms and traffic control algorithms that can be implemented for the warehouse AGV systems with multiple robots. This paper also proposes the application of Dijkstra approach as the most efficient traffic control algorithm and path planning algorithm with the implementation of the anti-collision algorithm. The suggested algorithm is simulated using MATLAB software to check its rationality and performances under a real-life scenario and for comparison with the alternatives. The finding from this paper presents timely and valuable insights into smart warehouse and logistics phenomenon, as a potential mechanism for optimizing material handling in warehouse management to be more efficient and collision-free through the use of modern technologies such as AGV system and Industry 4.0 integration.