Calculating the Process Driven Business Value of RFID Investments - A Causal Model for the Measurement of RFID Technologies in Supply Chain Logistics

Calculating the process driven value of RFID investments is very difficult. From a company’s perspective it is important to understand the concrete contribution of an RFID system with regard to individual processes. The problem of profitability analyses in IS is that such technologies cannot be calculated as an economic standard investment. Hence, we propose a reference model as a generic knowledge base for referential RFID impacts. Our model supports the structuring and evaluation of RFID benefits along business processes. With this, we propose indicators for the derivation of an RFID cause-and-effect chain. The allocation of RFID effects to processes within the reference framework helps in identifying the right logistic unit levels for RFID transponder investments

Measuring the level of supply chain robustness during construction mega-projects

Trop souvent, les mégaprojets sont complétés en retard et dépassent les budgets prévus. Néanmoins, il n’existe toujours pas de modèle unique, ni de cadre opératoire, ni de théorie holistique pouvant mesurer les performances et les productivités des divers activités lors de mégaprojets de construction. Une solution proposée par l’auteur de cette thèse est la formulation d'un artefact ou d'un design, appelé modèle de performance et de productivité de la construction (CPPM), qui intègre un cadre opératoire à partir des processus de la chaîne d'approvisionnement. Le modèle de performance et de productivité de la construction fait face à la problématique managériale avec la vision de développer une conception d’attributs et de facteurs clés qui rendrait l'industrie de la construction canadienne plus compétitive. Le cadre du modèle repose sur une approche de chaîne d’approvisionnement, et fournit des facteurs clés de succès en temps réel avec des attributs de performance et des mesures couvrant toutes les phases des mégaprojets. La recherche aux fils des ans a su évoluer grâce à la liberté d’adopter diverses méthodologies et d’étudier plusieurs théories. L’approche de la recherche en design-sciences a donc été choisie parce qu'elle englobe cette liberté académique dans le design managérial, l’approche théorique et l'environnement réel des mégaprojets. Le modèle “CPPM” a révélé que les attributs de performance et les facteurs clés de succès prédominant à l’artefact, étaient ceux reliés aux “EPCM Agility”, suivis des contrôles de coûts et ceux de la fiabilité des achats. L’auteur de cette thèse estime que la recherche entreprit lors de son doctorat a permis à la science de progresser. Cette thèse s'appuie sur ses sept constats liés à la gestion de mégaprojets, renforcée par quatre ans d’observations avec des experts de l’industrie, des entrevues semi-structurées et sondage, de même que la conception d’un modèle “CPPM” qui couvre toutes les phases et activités dans la gestion de mégaprojets. L’auteur a aussi établi un modèle qui est validé par une série de principes, de processus, d’évaluation, de contribution et de justification des connaissances, ainsi que l’originalité et l’inventivité d’un modèle qui est unique et novateur dans la littérature de la gestion de construction. Enfin, l’auteur conclut que l’artefact a atteint un niveau de cohérence que pour le chantier de construction sur lequel il a seulement été testé. Comprenant les limites du modèle, cette recherche offre à d’autres chercheurs l’occasion de renforcer ultérieurement la validité du modèle en le testant sur différents sites de construction.Abstract: Too often mega-projects are completed late and over budget. Nevertheless, there is no holistic model, nor any solid-proof framework, nor theories which measures performance and productivity pertaining to the construction activities. One solution proposed by the researcher, is the formulation of an artifact or design, known as the Construction Performance & Productivity Model (CPPM), which integrates a supply chain framework. The Construction Performance & Productivity Model seeks to attenuate the managerial problematic in the industry with the vision to develop a design that would make the Canadian construction industry more competitive. The framework of the model has a supply chain approach, provides real-time measurement with performance attributes and metrics that are pertinent to the construction industry. It is also friendly to users and covers all phases of construction mega-projects. The research over the years evolved from the freedom of adopting various methodologies and theories. The paradigm of Design-Science Research (DSR) was selected because it espouses this academic freedom in design, science and real-life environment. Through a Participant Observation (engineering phases) and Action Research (construction activities), using the SCOR Model as its base, enriched and minimised through a series of semi-structures interviews and one survey, the research found the most important performance attributes and metrics that performed best in the model (CPPM) were the ones belonging to the categories of EPCM Agility, followed by Project Controls and Procurement Reliability. The researcher believes this doctoral thesis has permitted the science to progress because its model (CPPM) relates its seven (7) constructs to megaprojects, reinforced by four (4) years of observations, is validated through a series of principles, processes, evaluation, contribution and justification knowledge. Moreover, the model’s originality and inventiveness are different from the ones found in construction literature. Finally, the researcher concludes the CPPM has achieved a level of consistency for the construction site it was only tested to it. Understanding the model’s limitations, this research offer opportunities to other scientists to further the model validity by testing it in different construction sites

The diffusion and impact of radio frequency identification in supply chains : a multi-method approach

As a promising and emerging technology for supply chain management, Radio Frequency Identification (RFID) is a new alternative to existing tracking technologies and also allows a range of internal control and supply chain coordination. RFID has generated a significant amount of interest and activities from both practitioners and researchers in recent years. However, the factors important for its diffusion in supply chains and the impact on supply chain performance have not been well understood. Many organizations are reluctant to participate in supply-chain level RFID projects because of this lack of understanding. My dissertation proposes to help understand RFID's use in supply chains through a multi-method approach - an empirical study to understand the diffusion and impact of RFID and a simulation study to understand RFID's impact on inventory accuracy in supply chains. My first study on the factors influencing RFID adoption decision showed that compatibility, trading partner's RFID capability, trading partner power, competitive pressure, transaction volume and financial resources are significant factors for RFID adoption in a supply chain context. The second study which looked into the post-adoption use of RFID for supply chain has found that adoption cost, complexity, organizational readiness, external pressure and trading partner readiness significantly influence RFID infusion, which finally improves firm's supply chain process performance. The third study used a simulation model to examine RFID's impact on inventory management in supply chains. The key findings were that the benefits reaped from RFID heavily depend on product type which implements RFID. The above findings indicate that organizations have to carefully evaluate their RFID project with different factors identified in this dissertation to successfully implement RFID and derive its full benefits. My dissertation has contributed to RFID research in particular, and supply chain technology adoption in general, by showing the importance of trading partner issues for supply chain technology diffusion and use

Supply chain visibility and sustainable competitive advantage: An integrated model

Lack of visibility of the assets in a product supply chain compromises attempts to optimise supply chain management. Increasing the visibility of these assets presents a relatively unexplored frontier in operations and supply where organisations can create competitive advantage through the opportunities asset visibility offer. This research aims at investigating the key capabilities of asset visibility specifically those associated with returnable transport assets that travel across supply chains carrying material and products e.g. cages, boxes, trays, trolleys and pallet bins. In addition, how these capabilities may influence supply chain visibility and firm performance in a way that might lead to sustainable competitive advantage is examined. To achieve these objectives, the research develops a two-stage model that is theoretically grounded in the extended resource-based view. Philosophically, the research adopts a critical realist approach using abductive logic. Methodologically, a sequential exploratory strategy for data collection is implemented. A qualitative, indepth site-based case study supported by field expert interviews was conducted as a pilot study. The pilot study findings refined the initial conceptual model derived from literature and informed the next stage of the research. The quantitative phase focused on refining the factors constituting asset visibility capabilities and then testing the relationship between these capabilities and supply chain visibility, performance and sustainable competitive advantage. Key findings are that asset visibility capabilities are shaped through three key capabilities: (1) an asset management capability formed by both core technological aspects related to tracking and tracing technology, and non-technological ones focusing on logistic-related capability; (2) a complementary technological capability comprising of IT infrastructure for supply chain integration; and (3) a complementary nontechnological capability represented through three sub-capabilities: (a) supply chain process integration; (b) focal firm-3PL relational orientation; and (c) internal firm integration. The research findings prove a positive relationship between asset visibility capabilities and supply chain visibility. In addition, a positive relationship between these capabilities and sustainable competitive advantage through the mediated effect of supply chain visibility and firm performance, is confirmed.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

An Examination of the Role of Industry 4.0 in Supply Chain Management: Critical Success Factors and a Roadmap

Global supply chain management aims to enhance efficiency and profitability for suppliers, manufacturers, logistics providers, and warehouses. It faces challenges due to the complexity involved. To stay competitive, organizations in the industry are leveraging Industry 4.0 technologies, but some struggle with implementation due to limited expertise. The primary challenge of Global Supply Chain Management now is to integrate Industry 4.0 tools and technologies to maintain high-quality standards and optimized processes. This study focused on identifying the key factors that directly affect the success of integrating Industry 4.0 into the supply chain. It examined both tangible and intangible business resources and investigated the mediating role of work engagement. Despite previous research efforts to develop frameworks and methodologies for Global Supply Chain Management and Industry 4.0, there remains a lack of consensus regarding the factors crucial for successful implementation. The availability of business resources and the level of employees\u27 work engagement are considered vital factors that have contributed to this ongoing debate. To validate the latent constructs, confirmatory factor analysis was conducted. The relationship between variables was analyzed using structural equation modeling with AMOS software. The study revealed that physical, financial, human, technological, and organizational resources, along with work engagement, had a positive impact on Industry 4.0 success. Work engagement partially mediated the effects of physical, financial, technological, and organizational resources on Industry 4.0 success. However, the study found that work engagement did not mediate the relationship between human resources and Industry 4.0 success. This study aims to provide a practical roadmap of scalable Industry 4.0 tools that can bring value to supply chain organizations. By transitioning from traditional methods to digitalized approaches, organizations can become more agile, flexible, accurate, and efficient. Ultimately, this transformation can help them gain a competitive advantage in the industry

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Total Constraint Management for Improving Construction Work Flow in Liquefied Natural Gas Industry

Australia has benefited and will continue to benefit significantly from Liquefied Natural Gas (LNG) investments underway. Managing these LNG projects is challenging as they become increasingly complex and technologically demanding. The primary goal of this thesis is to develop a Total Constraint Management (TCM) method to improve construction work flow during LNG construction. Five controlled experiments were conducted and results show that successful implementation of TCM can significantly improve construction productivity and reduce schedule overruns

Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL 2021)

Proceedings of the CPSL 202