Normative agent-based simulation for supply chain planning

Abstract

This paper presents an agent-based simulation framework for supply chain (SC) planning, introducing the notion of normative agent. The analysis of the relevant literature shows that most research works carried out in this area aim to handle specific problems and contexts. Although some methodologies and more generic solutions have been proposed, they are not able to cope with SCs in which regulation plays an important role, whether issued by a government agent or by an international institution. Several SCs, such as in the energy, food, chemical, and forestry areas, are highly regulated. Explicitly modelling the actors involved in the regulation of SCs using normative agents allowed us to evaluate the potential benefits of alternative strategies for planning of regulated SCs. The modelling of a biodiesel SC is presented as a case study.

Lean supply chain management and Industry 4.0 interrelationships: the status quo and future perspectives

“…Another technology used in the LSCM literature is big-data, a blend of structured, semistructured and unstructured data gathered by companies that can be mined for information (Moharm, 2019), this information is essential for extracting meaningful insights to improve supply chain performance and effectiveness [(Bevilacqua et al , 2019; Roy and Roy, 2019)]. In terms of LSCM, BD has been used in a variety of studies and for multiple purposes, such as determining the number of material deliveries (Deng, 2019), accurate procurement process estimates (Wang and Yue, 2017), supplier selection (Ferreira and Borenstein, 2011) and delivering a decision-making support system (Min, 2015).…”

Usage of Agent-Based Modeling and Simulation in Marketing

“…This search resulted in 141 publications, by taking into consideration their abstracts 89 of them found as irrelevant. [7], [8], [9], [10] Consumer Behavior 7 [11], [12], [13], [14], [15], [16], [17] Delivery 9 [15], [18], [19], [20], [21], [22], [23], [24], [25] Digital Rights Management 2 [26], [27] E-Commerce 3 [24], [27], [28] Innovation 16 [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [ [34], [58] In fact, all articles were carefully screened to meet two criteria:…”

“…The subjects about delivery which are examined in the chosen papers can be summarized as following. Reference [18] examined relationships in dynamic retail market, Reference [19] examined supply-chain co-design, Reference [20] examined supply-chain planning, Reference [21] examined agile supply demand network design, Reference [22] examined building a supply network theory, Reference [23] examined the role of collaboration and sustainable relationships in supply-chain, Reference [15] examined retail performance, Reference [24] examined the effect of e-commerce on supply chain management, Reference [25] examined the role of intermediaries in electronic value chain.…”

“…Over the years the usage of agent-based modeling in marketing increases. [11], [20], [24], [33], [36], [37], [38] 2011 9 17 [8], [15], [18], [29], [41], [45], [52], [54], [56] 2012 7 13 [9], [13], [39], [42], [47], [55], [ In 2008 the only one paper was published so this year can be an outlier. The most number of papers were published in the years of 2011 and 2012.…”

Conceptual Model Based on Normative Multi-Agent System for Supply Chain Integration of Brazilian Gypsum LPA

“…A normative system is identified if there is at least one normative correlation among set of sentences that result in normative consequences in specific case (Shoham & Tennenholtz, 1992). The normative consequences are outcomes of specific roles' implementation, that describe or bound the Ferreira & Borenstein (2011) This study presents a framework which explicit the modelling the actors involved in the regulation of SCs to evaluate the potential benefits of alternative strategies for planning. Huhns & Stephens (1999) agent behavior in the computational environment.…”