4.6 Article

Using value analysis to support knowledge transfer in the multi-project setting

Journal

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Volume 131, Issue 2, Pages 545-560

Publisher

ELSEVIER
DOI: 10.1016/j.ijpe.2011.01.023

Keywords

Value analysis; Knowledge transfer; Multi-project management; Action research; Decision support

Ask authors/readers for more resources

This paper investigates how formalized methodologies can effectively support the implementation of knowledge transfer practices in the multi-project setting. We propose a knowledge collection and transfer model grounded on the Value Analysis technique, empirically developed and validated through an action research in the shipbuilding industry. The proposed model facilitates decision making across multiple projects in the cruise ship design by stimulating the reuse of the available knowledge base and the exploitation of information needed to identify design solutions to solve the trade-off between functional requirements and available resources. (C) 2011 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Business

Digital Machines, Space, and Time: Towards a Behavioral Perspective of Flexible Manufacturing

Paolo Aversa, Marco Formentini, Daniela Iubatti, Gianni Lorenzoni

Summary: This study examines the impact of digital machines on the use of space and time in the production process, revealing that different types of digital machines affect the relationship between manufacturing flexibility and firm performance through mechanisms such as reshaping interactive space, innovation activities, time, and time perception. Increasing digitalization in manufacturing processes is shown to facilitate the establishment of new routines when introducing flexible machines in production. Theoretical and practical implications of fostering a behavioral perspective in innovation and operations management studies are discussed.

JOURNAL OF PRODUCT INNOVATION MANAGEMENT (2021)

Article Management

Algorithms for the Calzedonia workload allocation problem

Maria Battarra, Federico Fraboni, Oliver Thomasson, Gunes Erdogan, Gilbert Laporte, Marco Formentini

Summary: The Workload Allocation Problem involves assigning a sequence of operations to workers based on their skills and the variable processing time needed for each job. This study, rooted in Calzedonia's operations, compared the performance of different algorithms, including CPLEX, exact algorithms, and metaheuristics, as well as a simple heuristic used in the company. By analyzing the computational results, it was found that the effectiveness of each method varied in practice, highlighting the strengths and weaknesses of each approach.

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2021)

Editorial Material Management

Guest editorial Emerging research and future pathways in digital supply chain governance

Paolo Barbieri, Lisa Ellram, Marco Formentini, Joerg-Martin Ries

INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT (2021)

Article Computer Science, Interdisciplinary Applications

Enablers and barriers to circular supply chain management: a decision-support tool in soft wheat bread production

Marco Formentini, Luca Secondi, Luca Ruini, Matteo Guidi, Ludovica Principato

Summary: This study aims to analyze the role of FLW Reporting and Accounting Standard in identifying and measuring FLW occurrences in the agri-food supply chain, and how FLW can be reused within a circular economy perspective. The in-depth analysis of Barilla's soft bread supply chain provides insights on effective waste minimization through systematic measurement. This interdisciplinary approach integrates circular economy and supply chain management research streams to develop a decision-support tool for companies to reduce-reuse-recycle losses and waste throughout the entire production process.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT (2022)

Article Management

The organizational side of a disruption mitigation process: exploring a case study during the COVID-19 pandemic

Margherita Molinaro, Pietro Romano, Gianluca Sperone

Summary: This paper analyzes the reactive organizational practices implemented by an Italian company during the COVID-19 pandemic and compares them with those proposed in the disruption management literature. The study finds that the overall management of the mitigation process does not significantly differ between a pandemic and conventional disruptions, but there are some unique practices required in a pandemic setting.

OPERATIONS MANAGEMENT RESEARCH (2023)

Editorial Material Economics

Special Issue - Food Loss and Waste Management during COVID-19: Exploring the Major Challenges and Future Directions along the Food Supply Chain

Luca Secondi, Ludovica Principato, Marco Formentini

SOCIO-ECONOMIC PLANNING SCIENCES (2022)

Review Agricultural Economics & Policy

Information sharing in African perishable agri-food supply chains: a systematic literature review and research agenda

Edwin Obonyo, Marco Formentini, S. Wagura Ndiritu, Dag Naslund

Summary: The purpose of this paper is to review the current literature on information sharing in African perishable agri-food supply chains (AFSCs). The authors hope to inspire further research and advance the theory and practice of African perishable AFSCs, which is a relevant but under-investigated context. The systematic literature review covers the period of 2000-2021 and reveals that information sharing in African AFSCs is still in its early stage, focusing on market access, price and market information, and facing challenges such as traditional communication methods and limited adoption of digital technologies.

JOURNAL OF AGRIBUSINESS IN DEVELOPING AND EMERGING ECONOMIES (2023)

Review Business

Digital Technologies for Food Loss and Waste Prevention and Reduction in Agri-Food Supply Chains: A Systematic Literature Review and Research Agenda

Caterina Trevisan, Marco Formentini

Summary: Despite the benefits of Industry 4.0 technologies in the agri-food sector, the use of digital technologies to reduce food loss and waste in the agri-food supply chain is still being investigated. While companies are adopting digital technologies, there is a lack of in-depth analysis and practical guidance on implementation and results. This systematic literature review develops a framework for analyzing the adoption of Industry 4.0 technologies in the agri-food supply chain and provides a research agenda for further study.

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT (2023)

Article Management

Does supply chain quality integration guarantee ambidexterity? Contingency and configuration perspectives on their relationships

Juan P. Escorcia-Caballero, Maria D. Moreno-Luzon, Pietro Romano

Summary: This study examines the impact of supply chain quality integration (SCQI) on organizational ambidexterity from both contingency and configuration perspectives. The findings suggest that a high and balanced level of all three SCQI dimensions significantly increases ambidexterity.

TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE (2022)

Article Business

The role of formalization and organizational trust as antecedents of ambidexterity: An investigation on the organic agro-food industry

Odette Chams-Anturi, Maria D. Moreno-Luzon, Pietro Romano

Summary: This article investigates the influence of specific key organizational factors as antecedents of ambidexterity. The findings show that enabling formalization and organizational trust are positively related to ambidexterity, while coercive formalization has no relationship. Moreover, trust moderates the relationship between different types of formalization and ambidexterity.

BRQ-BUSINESS RESEARCH QUARTERLY (2022)

Proceedings Paper Computer Science, Information Systems

Investigating the Role of Institutional Frameworks in Food Waste Reduction at the Retailer Interface in the European Union

Yvonne Rachael Owasi, Marco Formentini

Summary: This study investigates the role of institutional frameworks in tackling food wastage at the retailer-supplier interface within the EU, with a focus on the impact of the French food waste law. The research shows that while the French food waste law has led to initiatives promoting circular economy and closed loop food supply chain, these policies are restricted by behavioral aspects of supply chain actors.

ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT II (2021)

Article Management

Designing blockchain systems to prevent counterfeiting in wine supply chains: a multiple-case study

Pamela Danese, Riccardo Mocellin, Pietro Romano

Summary: This study explores how different options for blockchain feeding and reading can be used to effectively prevent counterfeiting, based on the desired level of protection a brand owner intends to offer customers. The research offers practical suggestions for designing blockchain systems to address counterfeiting, highlighting key variables that can be modulated for counterfeiting protection.

INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT (2021)

Article Management

Exploring risk pooling in hospitals to reduce demand and lead time uncertainty

Gerald Oeser, Pietro Romano

Summary: The study found that applying risk pooling methods in healthcare can reduce economic losses, with inventory pooling, transshipments, and product substitution being the most effective in improving the economic situation of hospitals. However, form postponement may not be suitable for hospitals due to required efforts, delays in treatment, and liability issues.

OPERATIONS MANAGEMENT RESEARCH (2021)

Review Management

Investigating fit in supply chain integration: A systematic literature review on context, practices, performance links

Pamela Danese, Margherita Molinaro, Pietro Romano

JOURNAL OF PURCHASING AND SUPPLY MANAGEMENT (2020)

Proceedings Paper Automation & Control Systems

An interactive DSS to improve decision-making in the (r,Q) policy

Margherita Molinaro, Pietro Romano, Marco Battistutta, Giulia Da Re

IFAC PAPERSONLINE (2019)

Article Engineering, Industrial

Alliance formation between a platform retailer and competing manufacturers in sharing consumer data for product development

Hiroshi Matsuhisa, Nobuo Matsubayashi

Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

A federated machine learning approach for order-level risk prediction in Supply Chain Financing

Lingxuan Kong, Ge Zheng, Alexandra Brintrup

Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

Examining the impact of market power discrepancy between supply chain partners on firm financial performance

Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu

Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

A deep reinforcement learning based algorithm for a distributed precast concrete production scheduling

Yu Du, Jun-qing Li

Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

When will an overconfident entrant in the two-sided market do more good than harm?

Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou

Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

Deep Reinforcement Learning for One-Warehouse Multi-Retailer inventory management

Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld

Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

A robust optimization approach for inventory management with limited-time discounts and service-level requirement under demand uncertainty

Yimeng Sun, Ruozhen Qiu, Minghe Sun

Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

Integrated planning and scheduling of engineer-to-order projects using a Lamarckian Layered Genetic Algorithm

Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin

Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

Effects of stochastic and heterogeneous worker learning on the performance of a two-workstation production system

Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse

Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

Digitalization & Covid-19: An institutional-contingency theoretic analysis of supply chain digitalization

Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha

Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

Learning efficient in-store picking strategies to reduce customer encounters in omnichannel retail

Fabio Neves-Moreira, Pedro Amorim

Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Article Engineering, Industrial

How does the stakeholder exposure of vertical integration influence environmental performance?

Richard Kraude, Ram Narasimhan

Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)

Review Engineering, Industrial

Supply chain coopetition: A review of structures, mechanisms and dynamics

Korina Katsaliaki, Sameer Kumar, Vasilis Loulos

Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2024)