Developing flexible management strategies in infrastructure: The sequential expansion problem for infrastructure analysis (SEPIA)

Lozano, Jorge-Mario; Zuluaga, Santiago; Sánchez-Silva, Mauricio

doi:10.1016/j.ress.2020.106951

Cited by 7 publications

(2 citation statements)

References 32 publications

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“…The adaptability of the organization to its context is an ongoing process involving many complex interactions (Torres-Rinc on et al, 2020). This leads to the increasing necessity to think and design the organization for flexibility processes that enable fast adaptation (Lozano et al, 2020).…”

Section: Innovation For Sustainabilitymentioning

confidence: 99%

Strategic sustainability integration: Merging management tools to support business model decisions

2022

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Despite the competitive advantages of sustainable business models, developing management solutions to systematically support sustainability integration into organizational strategy is still a challenging approach for most organizations. Based on a critical analysis of existing tools to support sustainable business models, the present paper describes the development of a practical management tool to guide the strategic integration of sustainability in organizational business models. The proposed management tool results from the synergistic combination of the Sustainable Value Exchange Matrix and the Integrative Sustainable Intelligence Model, in a cyclic and continuous process supported by the periodic diagnosis of the key organizational factors with relevance for successful sustainability integration processes. The management tool described in this paper is expected to guide the strategic adaptation of organizations toward results with a positive impact on sustainability, with an effective contribution to the development of more sustainable business models.

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Section: Innovation For Sustainabilitymentioning

confidence: 99%

Strategic sustainability integration: Merging management tools to support business model decisions

2022

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“…Changes in the demand, the supply sources (in the case of water and energy distribution systems), and regulations may impose large stresses on the system [1,2,3,4]. This uncertainty can either challenge or boost the ability of the network to perform at required levels [5]. In the former case, networks usually rely on the robustness provided by over-dimensioned designs which can be largely inefficient, as in the case of sanitation systems [6].…”

Section: Introductionmentioning

confidence: 99%

A multistage stochastic program for the design and management of flexible infrastructure networks

Torres-Rincón

Sánchez-Silva

Bastidas‐Arteaga

2021

Reliability Engineering & System Safety

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Throughout their lifetime, infrastructure network systems face unplanned events that impose pressures on their integrity, functionality, and ability to deliver value. Most of the existing infrastructure is designed to deal with the challenges imposed by uncertain external phenomena. Authors from different backgrounds have identified flexibility, changeability, and adaptability as key attributes that modern systems should have to face uncertain scenarios. Specifically, flexibility is an ability that allows a system to be easily adapted when necessary. The concept of flexibility is compelling, but it is not clear how to measure the value it may provide. Determining how much to pay to introduce flexibility is an essential aspect of designing flexible systems, but the dependence of this value on the future evolution of the system results in a complex decision process. The sequential nature of the process can be modeled using multistage stochastic programming. The model explicitly considers the flexibility built into the network components as a decision variable at the initial stage. The model is tested in a generic infrastructure network that must meet a stochastic demand.The results show the relationship between the value of flexibility and the life-cycle costs at the construction and operation stages.

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Quantification of Value of Information associated with Optimal Observation Actions within Partially Observable Markov Decision Processes

Zhou¹,

Lai

Dong

2022

KSCE J Civ Eng

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Developing flexible management strategies in infrastructure: The sequential expansion problem for infrastructure analysis (SEPIA)

Cited by 7 publications

References 32 publications

Strategic sustainability integration: Merging management tools to support business model decisions

Strategic sustainability integration: Merging management tools to support business model decisions

A multistage stochastic program for the design and management of flexible infrastructure networks

Quantification of Value of Information associated with Optimal Observation Actions within Partially Observable Markov Decision Processes

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