A Decomposition Approach for the Two-Stage Stochastic Supply Network Planning in Light of the Rolling Horizon Practice

Almeida, João Flávio de Freitas; Conceição, Samuel Vieira

doi:10.1590/0101-7438.2021.041s1.00234451

Cited by 3 publications

(4 citation statements)

References 36 publications

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“…These may demand more computational effort to have an optimal solution, creating opportunities for the proposal of heuristics and their integration with the proposed models. Another line of research seeking to accelerate the resolution of the models is related to the development of valid inequalities related to the positioning of items and the proposal of methods based on Benders decomposition (Almeida & Conceic ¸ão, 2021).…”

Section: Discussionmentioning

confidence: 99%

A Stochastic Optimization Model for the Irregular Knapsack Problem With Uncertainty in the Plate Defects

Queiroz

Andretta

2022

Pesqui. Oper.

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The present research deals with the two-dimensional knapsack problem by considering the cutting of irregular items from a rectangular plate with defects. While the defects are only known at the time of cutting (in the future), we need first to select which items to produce from cutting the plate. The final items cannot have any defects and the goal is to maximize the profit from cutting the plate and producing the items. We propose a two-stage stochastic optimization model that makes use of a discrete set of scenarios with the realization of the plate defects. The first-stage decisions involve selecting items for cutting and possible production. The second-stage decisions consider the positioning of items in the plate given the scenarios with defects, and then the cancellation and non-production of some selected items, if any. We also extend this model to include a measure of risk, aiming at robust solutions. We perform computational tests on instances adapted from the literature that consider three types of defects, eight scenarios, and four cases for determining each scenario's probability. The tests evaluate the impact of uncertainties on the problem by calculating the expected value of perfect information and the value of the stochastic solution. The results indicate a percentage reduction in the profit of up to 27.7%, on average, when considering a fully risk-averse decision-maker.

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Section: Discussionmentioning

confidence: 99%

A Stochastic Optimization Model for the Irregular Knapsack Problem With Uncertainty in the Plate Defects

Queiroz

Andretta

2022

Pesqui. Oper.

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“…Furthermore, we employ a rolling horizon approach to enable the 3SCOPE model to make real-time adjustments to evolving market conditions and unexpected disruptions in the supply chain of the EM. As stochastic optimization becomes more computationally expensive with increasing problem scale [47], we utilize a multi-cut Benders decomposition method to allow the EM to solve the 3SCOPE model at a larger scale. We also propose three benchmark models as potential alternatives for solving the eVTOL supply chain problem, and compare the performance of these models with the 3SCOPE model.…”

Section: Challenges In Supply Chain Planning For Evtol Manufacturersmentioning

confidence: 99%

“…In another study [47], the authors developed a two-stage stochastic model aiming to address procurement planning from a given set of suppliers, transportation of parts to manufacturing plant, and inventory management of these parts. However, they did not consider the challenges related to optimal supplier selection, manufacturing scheduling, and the transportation of manufactured products to customers.…”

Section: B Addressing Research Gapsmentioning

confidence: 99%

“…Stochastic programming problems typically require significant computational resources, particularly as they transition from small to large-scale problems, resulting in increased complexity and running time [47]. To enhance the scalability of our 3SCOPE model, enabling it to handle large-scale problems effectively, we implement a relaxation technique followed by a multi-cut Benders decomposition method, as described in [111].…”

Section: E Multi-cut Benders Decompositionmentioning

confidence: 99%

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Benefits of Advanced Air Mobility for Society and Environment: A Case Study of Ohio

Dulia

Sabuj²,

Shihab

2021

Applied Sciences

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Advanced Air Mobility (AAM) is an emerging transportation system that will enable the safe and efficient low altitude operations and applications of unmanned aircraft (e.g., passenger transportation and cargo delivery) in the national airspace. This system is currently under active research and development by NASA in collaboration with FAA, other federal partner agencies, industry, and academia to develop its infrastructure, information architecture, software functions, concepts of operation, operations management tools and other functional components. Existing studies have, however, not thoroughly analyzed the net positive impact of AAM on society and environment to justify investments in its infrastructure and implementation. In this work, we fill this gap by evaluating the non-monetary social impact of AAM in the state of Ohio for passengers, patients, farmers, logistics companies and their customers and bridge inspection entities, as well as its environmental impact, by conducting a thorough data-driven quantitative cost–benefit analysis of AAM from the perspective of the state government. To this end, the most relevant and significant benefit and cost factors are identified, monetized, and estimated. Existing ground transportation for the movement of passengers and goods within and across urban areas is considered as the base case. The findings demonstrate that AAM’s benefits are large and varied, far outweighing its costs. Insights on these benefits can help gain community acceptance of AAM, which is critical for successful implementation of AAM. The findings support decision-making for policymakers and provide justification for investments in AAM infrastructure by the government and private sector.

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Integrating supply chain risk management activities into sales and operations planning

Kalla,

Scavarda,

Hellingrath

2024

Rev Manag Sci

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Sales and operations planning (S&OP) became a relevant managerial topic for academics and practitioners with a growing literature body and implementation cases in the industry. However, S&OP has been analysed mostly in stable environments, with few implications for uncertain environments. With the current growing pressure to deal with unexpected changes in the business environment, the integration with supply chain risk management (SCRM) activities has been considered a promising direction for the next S&OP generation. Within this context, this paper aims to advance the theoretical understanding of the interrelationship between S&OP and SCRM under different contexts and provide a practical guidance for adapting S&OP in uncertain environments. This goal is achieved by combining literature-based insights, obtained through a rigorous systematic literature review of 77 studies from academic and grey literature, with empirical insights from interviews with 15 industry experts. The research leads to a novel S&OP framework for dealing with uncertain environments. It integrates SCRM activities into S&OP, applying contingency theory as a theoretical foundation to address the context-specific nature of S&OP. Moreover, it embraces a holistic view for S&OP from an integrated people-process-IT perspective, encompassing the involved actors, the process itself and its steps, and the adopted information systems. Additionally, research findings reveal the possibility for an additional process to cope better with uncertain environments, which can run in parallel with the regular S&OP process. It is characterised by a higher planning frequency and a lower planning horizon, resulting in a closer linkage with operational planning and execution.

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A Decomposition Approach for the Two-Stage Stochastic Supply Network Planning in Light of the Rolling Horizon Practice

Cited by 3 publications

References 36 publications

A Stochastic Optimization Model for the Irregular Knapsack Problem With Uncertainty in the Plate Defects

A Stochastic Optimization Model for the Irregular Knapsack Problem With Uncertainty in the Plate Defects

Benefits of Advanced Air Mobility for Society and Environment: A Case Study of Ohio

Integrating supply chain risk management activities into sales and operations planning

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