List of Forthcoming Journals

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. The Influence of Supply Chain Process Integration on Firm Performance

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.

2. Supply Chain Network Design and Tactical Planning in the Dimension Stone Industry

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.

3. Data Analytics in the Supply Chain Management: Review of Machine Learning Applications in Demand Forecasting

Ammar (Aamer),
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.

4. A robust optimization for multi-period lost-sales inventory control problem

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.

5. Local and organic food distribution systems: towards a future agenda

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.

6. Supply Chain Risk Governance: Towards a Conceptual Multi-Level Framework

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.

7. Novel Implementation of Multiple Automated Ground Vehicles Traffic Real Time Control Algorithm for Warehouse Operation: Djikstra Approach

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.


Violeta Roso (Chalmers University of Technology, Sweden),
Ceren Altuntas Vural (Chalmers University of Technology, Sweden),
Anna Abrahamsson (Chalmers University of Technology, Sweden),
Matilda Engström (Chalmers University of Technology, Sweden),
Sara Rogerson (SSPA Sweden AB, Sweden),
Vendela Santén (SSPA Sweden AB, Sweden)

Inland waterway transportation (IWT) in Sweden could be a substitute for road transports with the prospects of improving the environmental performance. Sweden currently has no systematic strategies or policies for transports on inland waterways (IWW), and despite available capacity the waterways are barely utilized. In the Netherlands, for example, the IWW capacity is embedded in the transport system and utilized to a large extent. For a successful modal shift it is important to understand the drivers and barriers for the shift and develop strategies to leverage the drivers and mitigate the barriers. This study aims to identify drivers and barriers for IWT based on successful benchmark cases in the Netherlands. Furthermore, based on the learning from these benchmarks the study aims to point out strategic actions for Sweden regarding IWT. The data for this study was collected from IWT organizations, shippers and local administrations in the Netherlands. The results showed that main drivers for IWT are congestion relief, cost reduction and lower environmental impact. On the other hand, main barriers are slow pace of development, high investment costs and poor hinterland connectivity. For a successful modal shift in Sweden, it is crucial to prepare governmental support, a change in stakeholders’ mindset, decisive attitude to modal shift process and a strong long-term perspective.

9. Understanding the Interrelationship Between Culture of Quality, Employee and Organizational Performance

Vikas Kumar (University of the West of England, Bristol, UK ),
Yu Han (University of Warwick, Coventry, UK ),
Ngân Tuy?t Tr??ng (RMIT University Vietnam, Ho Chi Minh City, Vietnam),
Nhu Y Ngoc Hoang (University of Economics Ho Chi Minh City, Vietnam),
Arvind Upadhyay (University of Brighton, Brighton, UK )

Culture of Quality (COQ) is regarded as an important component of total quality management (TQM) however this is a relatively new emerging theme, compared to other concepts in the quality management domain. As a result, literature resources on this topic are relatively scarce and there is a lack of empirical validation of the COQ framework. This study therefore attempts to fill this research gap and aims to empirically investigate the dimensions of the COQ and their impact on organisational and employee performance. The study also explores the interrelationship between each dimension of COQ. A set of hypotheses are proposed and empirically tested based on the 120 survey responses mostly from the Asian region. The survey data was analysed using SPSS through descriptive analysis, reliability analysis, correlation analysis and regression analysis. Findings show that COQ dimensions; leadership emphasis, message credibility, peer involvement and employee ownership encourage better employee performance. The study further suggests that organisations should work on ensuring supervision from top to bottom, accelerating information flow, creating autonomous working environment and getting staff involved in strategic management. In addition, findings show that COQ factors also interact with each other in varying degrees. The study therefore addresses an important research gap by empirically investigating the COQ dimensions and suggesting that from an employee perspective, organizational performance can be accelerated through quality culture management.

10. Course Planning in Educational Programs: A Project Management Approach

Manohar S. Madan (University of Wisconsin-Whitewater, Whitewater, WI 53190, USA),
Kingsley Gnanendran (University of Scranton, Scranton, PA 18510, USA)

Universities today face heightened competition, tight budgets, and stringent accreditation requirements. Students, on the other hand, have expectations in terms of time-to-degree, cost of attendance, program quality, curricular flexibility, and schedule convenience. Researchers have used various approaches to address educational program planning: mathematical programming, simulation, Markov analysis, material requirements planning, and flow analysis. Here, we propose a data-driven approach that uses enrollment data along with project management methodology. The degree program is viewed as a “project” with multiple, related tasks (courses). We define appropriate performance measures and develop decision rules to determine the schedule for future course offerings.


Gra?yna Wieteska (University of Lodz, Matejki 22/26, 90-237 ?ód?, Poland)

Nowadays, the aspects of managing risks and building resilience are crucial for maintaining the continuity of business processes. Therefore, it is highly valuable to recognize those aspects that support such activities. The main purpose of this article is to investigate whether supplier involvement in product development (SI) affects the degree of supply chain risk and, thus, indirectly impacts supply chain resilience. The study is based on a survey conducted among 500 manufacturing companies, from which several hypotheses have been defined and tested. This allowed the verification of a theoretical model covering the following three research areas: supplier involvement in product development, supply chain risks and supply chain resilience. In particular, the study confirmed that forging partnerships during the SI process positively influences supply risk reduction, while communication during SI minimizes operational risk for a company, i.e. risk of human failures and inadequate or failed internal processes. Subsequently, any reduced operational risk improves supply chain resilience.

12. Three-echelon Green Supply Chain Inventory Decision for Imperfect Quality Deteriorating Items

Yosef Daryanto (Universitas Atma Jaya Yogyakarta, Indonesia),
Hui Ming Wee (Chung Yuan Christian University, Taiwan)

This paper presents an integrated supply chain inventory model for deteriorating items with an imperfect quality considering its environmental impact, particularly the supply chain carbon footprint. An imperfect production system produces a certain number of defective items. Therefore, in our model, the manufacturer conducts a 100% quality check to prevent the delivery of defective items. A third-party logistics (3PL) company supports the logistics between the manufacturer and the buyer, by transporting the products from the manufacturer to a warehouse and then delivering the products in a smaller quantity to the buyer. The proposed solution procedure determines the number of deliveries per cycle, delivery interval, and delivery quantity between the 3PL and the buyer simultaneously. It also determines the production quantity of the manufacturer and the delivery quantity from the manufacturer to the 3PL. The objective is to minimize the expected total cost and to reduce total carbon emissions.