scholarly journals A robust crude oil supply chain design under uncertain demand and market price: A case study

2018 ◽  
Vol 73 ◽  
pp. 66 ◽  
Author(s):  
Heidar Beiranvand ◽  
Mahdi Ghazanfari ◽  
Hadi Sahebi ◽  
Mir Saman Pishvaee
Keyword(s):  
Supply Chain ◽  
Robust Optimization ◽  
Crude Oil ◽  
Global Economy ◽  
Programming Model ◽  
Optimization Technique ◽  
Market Price ◽  
Supply Chain Design ◽  
Oil Supply

In today’s global economy, the oil industry plays a vital role and has an effect on most of countries within leading business environments, particularly in oil producing countries. To deal with the complexity of the crude oil supply network, a mathematical programming model is developed to formulate a crude oil supply chain. A robust optimization model is developed to maximize the profitability of the entire chain and take uncertainties of price and demand into account. The results show that according to the real case study data the robust optimization technique will increase the profitability of the crude oil supply chain.

Robust Optimization for Smart Manufacturing Planning and Supply Chain Design in Chemical Industry

2014 ◽  
pp. 21-37 ◽  
Author(s):  
Tianxing Cai
Keyword(s):  
Supply Chain ◽  
Robust Optimization ◽  
Chemical Industry ◽  
Programming Model ◽  
Supply Chain Design ◽  
Mixed Integer ◽  
Smart Manufacturing ◽  
Manufacturing Planning ◽  
Economic Markets ◽  
Uncertainty Parameters

The depletion of natural resource, the complexity of economic markets and the increased requirement for environment protection have increased the uncertainty of chemical supply and manufacturing. The consequence of short-time material shortage or emergent demand under extreme conditions, may cause local areas to suffer from delayed product deliveries and manufacturing disorder, which will both cause tremendous economic losses. In such urgent events, robust optimization for manufacturing planning and supply chain design in chemical industry, targeting the smart manufacturing, should be a top priority. In this chapter, a novel methodology is developed for robust optimization of manufacturing planning and supply chain design in chemical industry, which includes four stages of work. First, the network of the chemical supply chain needs to be characterized, where the capacity, quantity, and availability of various chemical sources is determined. Second, the initial situation under steady conditions needs to be identified. Then, the optimization is conducted based on a developed MILP (mixed-integer linear programming) model in the third stage. Finally, the sensitivity of the manufacturing and transportation planning with respect to uncertainty parameters is characterized by partitioning the entire space of uncertainty parameters into multiple subspaces. The efficacy of the developed methodology is demonstrated via a case study with in-depth discussions.

scholarly journals Collaborative and sustainable supply chain practices: a case study

2019 ◽  
Vol 14 (1) ◽  
pp. 3-21
Author(s):  
Rubén Medina-Serrano ◽  
Reyes Gonzalez ◽  
Jose Gasco ◽  
Juan Llopis
Keyword(s):  
Supply Chain ◽  
Dynamic Capabilities ◽  
Supply Chain Design ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Procurement ◽  
Consistent Manner ◽  
Management Approaches ◽  
Corporate Social

Purpose The purpose of this paper is to explore sustainability and collaboration in supply chain (SC) management designs and to develop a sustainable supply chain design (SCD) model. Design/methodology/approach First, a literature review of the principal theories and SC management approaches is discussed. Second, the development of a sustainable SCD model is described and explained. Third, the results and the operationalization of the model, which incorporates sustainable procurement elements based on the results of interviews from a case study, are outlined. Findings A framework is proposed to provide managers, practitioners and academics with a practical solution to make sustainable SC decisions in a more structured and consistent manner. Originality/value The paper presents a currently discussed problem about the design of differentiated supply chains to avoid or offset the effects of allocation issues in the electronic marketplace. Although past literature reviews provide valuable results, they were based upon the assessment of supply chain decisions failing to consider the sustainable corporate social responsibility and the interaction criteria. The findings from this study highlight the importance of addressing supply chain decisions in a structured manner and prioritize the development of dynamic capabilities to improve the firm’s ability to reconfigure internal and external competences to address rapidly changing environments and reinforce a collaborative SC management system with third parties.

scholarly journals Supply chain optimization with variable demand by considering financial criteria and scenarios

2017 ◽  
Vol 26 (44) ◽  
pp. 21 ◽  
Author(s):  
John Willmer Escobar
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Net Present Value ◽  
Programming Model ◽  
Supply Chain Design ◽  
Mixed Integer ◽  
Supply Network ◽  
Distribution Centers ◽  
Supply Chain Optimization ◽  
Starting Point

This paper contemplates the supply chain design problem of a large-scale company by considering the maximization of the Net Present Value. In particular, the variability of the demand for each type of product at each customer zone has been estimated. As starting point, this paper considers an established supply chain for which the main problem is to determine the decisions regarding expansion of distribution centers. The problem is solved by using a mixed-integer linear programming model, which optimizes the different demand scenarios. The proposed methodology uses a scheme of optimization based on the generation of multiple demand scenarios of the supply network. The model is based on a real case taken from a multinational food company, which supplies to the Colombian and some international markets. The obtained results were compared with the equivalent present costs minimization scheme of the supply network, and showed the importance and efficiency of the proposed approach as an alternative for the supply chain design with stochastic parameters.

scholarly journals Green food supply chain design considering risk and post-harvest losses: a case study

2020 ◽  
Vol 295 (1) ◽  
pp. 257-284 ◽  
Author(s):  
D. G. Mogale ◽  
Sri Krishna Kumar ◽  
Manoj Kumar Tiwari
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Supply Chain Design ◽  
Food Supply Chain ◽  
Post Harvest ◽  
Green Food

Who is the most effective stakeholder to incent in the waste cooking oil supply chain? A case study of Beijing, China

2019 ◽  
Vol 4 (3) ◽  
pp. 116-124 ◽  
Author(s):  
Tingting Liu ◽  
Yaru Liu ◽  
Enhua Luo ◽  
Yufeng Wu ◽  
Yong Li ◽  
...  
Keyword(s):  
Supply Chain ◽  
Waste Cooking Oil ◽  
Oil Supply ◽  
Cooking Oil ◽  
Beijing China

Digitalization opportunities for the procurement function: pathways to maturity

2020 ◽  
Vol 40 (11) ◽  
pp. 1685-1693
Author(s):  
Zahra Seyedghorban ◽  
Danny Samson ◽  
Hossein Tahernejad
Keyword(s):  
Supply Chain ◽  
Well Being ◽  
Supply Chain Design ◽  
Strategic Partner ◽  
Content Type ◽  
Study Approach ◽  
Modern Technologies ◽  
Initial Research

PurposeThis research aims at investigating the common practical problem of how procurement can be transformed from tactical and administrative to becoming an organizational strategic partner and indeed a competitive weapon, using modern technologies in particular. We investigated how procurement can be reinvented, from being digitized to digitalized to digitally integrated, ultimately contributing in business terms beyond supply chain effectiveness but also to profit generation.Design/methodology/approachA case study approach was designed to investigate three firms, each at very different stages of digital maturity in procurement. Interviews with managers, investigation of processes and documentary materials and in-depth follow-up discussions were conducted.FindingsThe iterative digitalization transformation discovered encompasses complexities rooted in organizational structure, supply chain design and the management of the technology for employees' uptake. There are both operations and strategy implications as a result. This initial research phase led to mapping a model of digital maturity as well as identifying its underlying constructs.Originality/valueThis research discovered that the implementation of digital technologies can lead the procurement function of the supply chain to completely grow out of its administrative and clerical shell into a strategic, consultative, value-adding and potentially revenue-generating function, thereby contributing to the well-being of not only the supply chain but also the entire organization.

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