Dynamics performance of the wind-power supply chain with transmission capacity constraints

Abstract

Previous studies have shown that poor performance of energy supply chains arises from incorrectly interpret feedback information and time delays between decisions and actions in energy policy. This paper assesses alternatives to improve performance of wind-power supply chain with transmission constraints that contribute to enhance response capacity of the wind industry to changes of energy policy. In order to test these alternatives, this paper used a simulation model with system dynamics (SD), taking as case study Brazil. The simulation model represents the main time lags and fluctuations that exist in the wind-power supply chain. Four simulation scenarios were proposed to evaluate changes in auction-based policy in wind industry of Brazil. The results are related to operational capacity, inventory levels and response capacity. This paper provides an analysis of different scenarios that contribute with synchronization of auctions policy, including transmission capacity constraints.

Towards a strategic innovation framework to support supply chain performance

“…Hence the decision-makers should include collaboration agreements to promote R&D activities aimed at joint decision-making along the SC. In this sense, previous studies have agreed on the importance of information sharing and collaboration; for example, for the design of processes and products (Ataseven and Nair, 2017; Chang et al , 2016; Herrera et al , 2020a, b).…”

“…The product development and commercialisation process team must coordinate with the customer relationship management process to identify the customer's articulated and unarticulated needs in order to achieve innovative products (Ataseven and Nair, 2017; Lambert and Enz, 2017). In this sense, the implementation of innovative practices can affect SC flows and its structure (Sabri et al , 2018; Zimmermann et al , 2016), as well as its dynamic performance (Asif et al , 2012; Herrera et al , 2020a, b; Orjuela and Adarme, 2017). Currently, SCs face new challenges and opportunities with the introduction of technological innovations, which require a performance management perspective.…”

“…This modelling approach has a compelling logic that offers substantial improvements when dealing with issues of performance management (Cosenz and Noto, 2016; Gary et al , 2008; Torres et al , 2017; Warren, 2005). For several years, SD has been used for understanding and discussing complex SC issues (Campuzano et al , 2010; Forrester, 1961; Georgiadis et al , 2005; Gonçalves et al , 2005; Herrera et al , 2020b; Sterman, 2000). More recently, SD has been employed to understand the dynamics of ISs, particularly in technological transitions (Holtz et al , 2015; Köhler et al , 2018; Papachristos, 2019; Walrave and Raven, 2016).…”