scholarly journals A mixed integer nonlinear multiperiod model for supply chain management of a company in the retail sector

2021 ◽  
Author(s):  
Eliana Costa Oliveira da Costa e Silva ◽  
Ana Teixeira ◽  
Cristina Lopes
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Programming Model ◽  
Business Environment ◽  
Mixed Integer ◽  
Retail Sector ◽  
Food Supply Chains ◽  
Nonlinear Programming Model ◽  
Almost All ◽  
Retail Company

The fluctuations in the business environment and seasonal variations characteristic of food supply chains contribute greatly to the increasing complexity of the entire Supply Chain planning. In the present paper, quantitative models are applied to support the decision-making purchasing management department of a retail company. Specifically, a multiperiod mathematical model was developed with the aim of optimizing decision-making of the purchasing managers. The developed model consists of a multiperiod Mixed Integer Nonlinear Programming model, with the objective to minimize the ratio between how much is costing the company to move the products along the Supply Chain and the products' costs. It is discussed how to order the product, what is the most advantageous storage mode and whether it is preferable to order once or twice a week. Real instances, provided by a Portuguese retail company, regarding the demand for one year are tested for two scenarii, which are used currently by the company. The results show that the proposed model can reduce, on both scenarios, the ratio between operational costs and merchandise costs, for almost all products, and therefore it can be an important tool for supporting decision-making of the purchasing manager.

scholarly journals A Four-Type Decision-Variable MINLP Model for a Supply Chain Network Design

2010 ◽  
Vol 2010 ◽  
pp. 1-16 ◽  
Author(s):  
M. M. Monteiro ◽  
J. E. Leal ◽  
F. M. P. Raupp
Keyword(s):  
Supply Chain ◽  
Programming Model ◽  
Planning Horizon ◽  
Mixed Integer ◽  
Decision Variable ◽  
Abc Classification ◽  
Computational Implementation ◽  
Minlp Model ◽  
Nonlinear Programming Model ◽  
Outer Approximation Algorithm

We propose a mixed integer nonlinear programming model for the design of a one-period planning horizon supply chain with integrated and flexible decisions on location of plants and of warehouses, on levels of production and of inventory, and on transportation models, considering stochastic demand and the ABC classification for finished goods, which is an NP-hard industrial engineering optimization problem. Furthermore, computational implementation of the proposed model is presented through the direct application of the outer approximation algorithm on some randomly generated supply chain data.

scholarly journals A hybrid NSGA-II algorithm for the closed-loop supply chain network design in e-commerce  

2021 ◽  
Author(s):  
Shayan Shafiee Moghadam ◽  
Amir Aghsami ◽  
Masoud Rabbani
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Programming Model ◽  
Mixed Integer ◽  
Modern World ◽  
Supply Chain Network ◽  
Nsga Ii ◽  
Closed Loop Supply Chain ◽  
Proposed Model ◽  
Nonlinear Programming Model

Designing the supply chain network is one of the significant areas in e-commerce business management. This concept plays a crucial role in e-commerce systems. For example, location-inventory-pricing-routing of an e-commerce supply chain is considered a crucial issue in this field. This field established many severe challenges in the modern world, like maintaining the supply chain for returned items, preserving customers' trust and satisfaction, and developing an applicable supply chain with cost considerations. The research proposes a multi-objective mixed integer nonlinear programming model to design a closed-loop supply chain network based on the e-commerce context. The proposed model incorporates two objectives that optimize the business's total profits and the customers' satisfaction. Then, numerous numerical examples are generated and solved using the epsilon constraint method in GAMS optimization software. The validation of the given model has been tested for the large problems via a hybrid two-level non-dominated sort genetic algorithm. Finally, some sensitivity analysis has been performed to provide some managerial insights.

scholarly journals Context-aware heatstroke relief station placement and route optimization for large outdoor events

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yan Wu ◽  
Tianqi Xia ◽  
Adam Jatowt ◽  
Haoran Zhang ◽  
Xiao Feng ◽  
...  
Keyword(s):  
Physical Environment ◽  
Emergency Service ◽  
Programming Model ◽  
Heterogeneous Data ◽  
Route Optimization ◽  
Mixed Integer ◽  
Context Aware ◽  
Outdoor Activities ◽  
Integer Nonlinear Programming ◽  
Nonlinear Programming Model

Abstract Background Heatstroke is becoming an increasingly serious threat to outdoor activities, especially, at the time of large events organized during summer, including the Olympic Games or various types of happenings in amusement parks like Disneyland or other popular venues. The risk of heatstroke is naturally affected by a high temperature, but it is also dependent on various other contextual factors such as the presence of shaded areas along traveling routes or the distribution of relief stations. The purpose of the study is to develop a method to reduce the heatstroke risk of pedestrians for large outdoor events by optimizing relief station placement, volume scheduling and route. Results Our experiments conducted on the planned site of the Tokyo Olympics and simulated during the two weeks of the Olympics schedule indicate that planning routes and setting relief stations with our proposed optimization model could effectively reduce heatstroke risk. Besides, the results show that supply volume scheduling optimization can further reduce the risk of heatstroke. The route with the shortest length may not be the route with the least risk, relief station and physical environment need to be considered and the proposed method can balance these factors. Conclusions This study proposed a novel emergency service problem that can be applied in large outdoor event scenarios with multiple walking flows. To solve the problem, an effective method is developed and evaluates the heatstroke risk in outdoor space by utilizing context-aware indicators which are determined by large and heterogeneous data including facilities, road networks and street view images. We propose a Mixed Integer Nonlinear Programming model for optimizing routes of pedestrians, determining the location of relief stations and the supply volume in each relief station. The proposed method can help organizers better prepare for the event and pedestrians participate in the event more safely.

Crisis or opportunity: Marks and Spencer’s tryst with Indian retail

2020 ◽  
Vol 16 (6) ◽  
pp. 671-690
Author(s):  
Arunima Rana ◽  
Ravi Shankar
Keyword(s):  
Decision Making ◽  
International Business ◽  
Brand Management ◽  
Secondary Data ◽  
Business Environment ◽  
Special Focus ◽  
Retail Sector ◽  
Content Type ◽  
Competitor Analysis ◽  
Fashion Retail

Research methodology The case is written using secondary data sources (namely, research documents, press information, journal articles and published interviews). Publicly declared company information has further been leveraged to augment case facts. All information sources have been duly acknowledged in the reference section. Case overview/synopsis The case is written in the backdrop of COVID-19 pandemic and its effect on the Indian retail industry, revolving around scenarios in which a multinational retailer has to decide on its long- and short-term strategy in such an economic crisis. The case story has been developed around Marks and Spencer’s retail venture in the Indian market. With the COVID-19 pandemic impacting business at various levels, with countries moving to lock down and economies shrinking to recessionary levels, one of the worst affected sectors is retail. The teaching case builds upon Mark and Spencer’s initial decision of not entering and extending its food/grocery business in India. While it remained a dominant player in Indian fashion retail for almost two decades, it needs to re-think its decision of entering food retail owing to a pandemic situation affecting its offline sales/store footfall and increasing competition from global fashion brands such as Zara and H&M that had flooded the Indian fashion retail sector. The case provides a context for students to perform environmental factor and competitor analysis for a sector, with special focus on decision making in a changing crisis scenario. Complexity academic level This case could be used in undergraduate and MBA classroom programme, across subjects such as retail management, marketing management, international business, international business environment and strategic business management. This case fits while discussing topics such as business environmental factors, competitor analysis, decision-making under crisis, market entry decision, omnichannel retail strategy, consumer behaviour and brand management.

scholarly journals Legal-economic barriers to price transfers in food supply chains

2012 ◽  
Vol 6 (1-2) ◽  
pp. 27-33 ◽  
Author(s):  
Harry Bremmers ◽  
Bernd Van der Meulen ◽  
Zorica Sredojevi ◽  
Jo Wijnands
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Food Supply ◽  
Value Added ◽  
Price Volatility ◽  
Retail Sector ◽  
The European Union ◽  
Food Supply Chains ◽  
Industry Policy ◽  
The One

Recent price movements have put food supply chains under pressure. On the one side, upward price tendencies on commodity markets result in higher costs to processing firms. On the other side, these firms are confronted with a strong retail sector that is able to prevent compensation to protect consumers’ and own economic interests. Regulatory impediments of European law, especially with respect to foodstuffs, can adversely be utilized as barriers to protect the interest downstream the supply chain. The problem is that legal-economic instruments which can serve to smooth price volatility in supply markets can also opportunistically be used at the expense of the middlesection in food supply chains (i.e., mainly small and medium sized producers). The aim of this article is to identify the legal-economic mechanisms that effect price transfers in food supply chains in the European Union and define policy adjustments to improve pricing mechanisms, while safeguarding the interests of the processing industry. Policy alternatives to improve the smooth functioning of notably intermediate markets in food supply chains are the restructuring of competition law, improved processor information management and creating transparency of value added in the supply chain by means of labelling devices.

scholarly journals Local Blood Supply Chain Optimization: A Case Study

2020 ◽  
Vol 18 (4) ◽  
Author(s):  
Reza Babazadeh ◽  
Ali Sabbaghnia ◽  
Fatemeh Shafipour
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Blood Donation ◽  
Programming Model ◽  
Human Life ◽  
Mixed Integer ◽  
Model Parameters ◽  
Supply Chain Optimization ◽  
Blood Supply Chain ◽  
Proposed Model

: Blood and its products play an undeniable role in human life. In recent years, although both academics and practitioners have investigated blood-related problems, further enhancement is still warranted. In this study, a mixed-integer linear programming model was proposed for local blood supply chain management. A supply network, including temporary and fixed blood donation facilities, blood banks, and blood processing centers, was designed regarding the deteriorating nature of blood. The proposed model was applied in a real case in Urmia, Iran. The numerical results and sensitivity analysis of the key model parameters ensured the applicability of the proposed model.

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