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 2 publications

(1 citation statement)

References 36 publications

(17 reference statements)

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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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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 2 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

Integrating supply chain risk management activities into sales and operations planning

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