Izunildo Cabral

A decision-making model for Lean, Agile, Resilient and Green supply chain management

In modern business environments, an effective supply chain management (SCM) is crucial to business continuity. Competition between supply chains (SC) has replaced the traditional competition between companies. Lean, Agile, Resilient and Green (LARG) paradigms are advocated as the foundation of a competitive SCM. To make a supply chain more competitive, capable of responding to the demands of customers with agility and capable of responding effectively to unexpected disturbance, in conjugation with environmental responsibilities and the necessity to eliminate processes that add no value, companies must implement a set of LARG SCM practices and key performance indicators (KPI) to measure their influence on the SC performance. However, the selection of the best LARG SCM practices and KPIs is a complex problem, involving dependencies and feedbacks. This paper proposes an integrated LARG analytic network process (ANP) model to support decision-making in choosing the most appropriate practices and KPIs to be implemented by companies in an SC. To validate the model in an exploratory approach, a case study in an automaker supply chain is presented.

An agent-based model for analyzing the impact of business interoperability on the performance of cooperativeindustrial networks

This paper presents an approach for analyzing the impact of business interoperability on the performance of cooperative industrial networks. The analysis of the impact is grounded on the agent-based simulation method. A theoretical agent-based model is proposed to simulate the manner in which companies interoperate in cooperative industrial networks and how the distance between the actual and the required level of business interoperability in different dyad relationships can affect the performance of these companies. To test the applicability of the proposed theoretical agent-based model, a case study regarding a dam construction project is presented. The objective of the case study is to analyze the impact of the introduction of a Radio Frequency Identification system and a cooperative information system platform, first on the business interoperability performance and then on the operational performance of a the companies involved in the dam construction project. The application of the theoretical agent-based simulation model to this case study supports our assumption that indeed, agent-based simulation is appropriate for achieving the objective set. Regarding to the case study results, the main benefits of the introduction of the cooperative information systems platform are the reduction of the time needed to analyze the slump and compression test results, which can be reduced up to 98%. We propose an agent-based model for analyzing the impact of business interoperability on the performance of industrial networks.We address how dyad organizational relationships affect the network of companies that the two companies in the dyads belong to.This is the first time that network effect is addressed in the analysis of the impact of business interoperability.We demonstrate the applicability of the proposed agent-based model through a case study regarding a dam construction project.ABM is indeed appropriate for analyzing the impact of business interoperability on the performance of networked companies.

An information model in lean, agile, resilient and green supply chains

Currently the competition is between supply chains rather than between companies. The demands of customers in a market increasingly volatile and turbulent, in conjunction with environmental responsibilities, make supply chains develop strategies to be more flexible, agile, which eliminate processes that add no value and respond to environmental issues, making the supply chains more competitive. This paper presents and discusses an information model to support current integrated paradigms of supply chain management — lean, agile, resilient and green. The information model will provide all the necessary information for decision-makers take the right decisions at the right time and thus optimizing the supply chain performance integrating lean, agile, resilient and green demands.

Modeling Business Interoperability in a Context of Collaborative Supply Chain Networks

This paper proposes a methodology for modeling interoperability in a context of collaborative Supply Chain Networks. The purpose of the study is to develop a methodology that enables: (1) the design of collaborative Supply Chain Network platforms that are able to deliver a high degree of business interoperability in the implementation of collaborative Supply Chain Network management practices; and (2) the analysis of the impact of business interoperability on the performance of collaborative organizations that are involved in the implementation of those management practices. The design of the Supply Chain Network platforms is grounded on the Axiomatic Design Theory and the analysis of the impact is grounded on the Agent-based Simulation. A theoretical axiomatic design model and a theoretical agent-based simulation model are proposed. The proposed methodology is demonstrated through an application scenario to implement Reverse Logistics in a context of automotive industry. The results show that this methodology is a good starting point for a more comprehensive framework towards interoperable Supply Chain Network modelling.

A methodology for designing an interoperable industrial ecosystems, using the axiomatic design theory

This paper presents a methodology to design interoperable lean, agile, resilient, and green industrial ecosystems based on axiomatic design. The main objective is to develop a systematic approach to support the detailed design of collaborative business platforms that are able to deliver high level of interoperability, as measured by the expanded business interoperability quotient measurement model. To achieve this objective, axiomatic design is employed to develop the “ideal” cooperation configuration by defining and aligning a set of functional requirements necessary to establish an effective and efficient cooperation among networked organizations. The applicability of the developed methodology is tested through an application scenario of implementing reverse logistics among an automaker focal firm and its upstream partners, as well as some external stakeholders.

Information model for LARGeSCM interoperable practices

Lean, Agile, Resilient and Green have been emerging as the main management philosophies to enhance competitiveness in the market increasingly turbulent and volatile. Companies and their Supply Chains have been implementing some management practices, in order to improve their efficiency. Many of these practices require interoperation among two or more entities. The failure in implementing these practices highlights the need of companies in improving their ability of interoperation. The interoperability is a required role in a collaborative Supply Chain. The present work provides a conceptual class diagram to support the implementation and assessment of interoperable practices, in context of LARG Supply Chain Management.

Impact of Business Interoperability on the Performance of Complex Cooperative Supply Chain Networks: A Case Study

This paper proposes an agent-based model for evaluating the effect of business interoperability on the performance of cooperative supply chain networks. The model is based on insights from the Industrial Marketing and Purchasing network approach and the complex systems theory perspective. To demonstrate its applicability, an explanatory case study regarding a Portuguese reverse logistics cooperative supply chain network is presented. Face-to-face interviews and forms were used to collect data. The findings show that the establishment of appropriate levels of business interoperability has helped to reduce several non-value-added interaction processes and consequently improve the operational performance of the Valorpneu network. Regarding the research implications, this paper extends the current knowledge on business interoperability and an important problem in business: how business interoperability gaps in dyadic organizational relationships affect the network of companies that the two companies belong to—network effect. In terms of practical implications, managers can use the proposed model as a starting point to simulate complex interactions between supply chain network partners and understand better how the performance of their networks emerges from these interactions and from the adoption of different levels of business interoperability.

Analyzing the impact of business interoperability on the performance of cooperative supply chain networks

The originality of this paper consists in proposing a model that can be used to simulate the manner in which companies interoperate in cooperative supply chain networks. The objective is to develop a model that enables the analysis of the impact of business interoperability on the performance of cooperative supply chain networks. The analysis of the impact is based on the agent-based simulation method. To test the proposed theoretical model, an application scenario regarding a reverse supply chain network is presented.