Abstract

Optimization problems in real life often have problems with data that cannot be known precisely; constraints on the data are commonly referred as errors. This kind of data is called uncertainty. This uncertainty problem can be solved using Robust Optimization (RO). RO is growing rapidly with the participation of various kinds of research, especially the supply chain (distribution of food or goods between regions). It can be seen that RO is very active in providing support and contribution in various aspects of life by providing optimal results for an objective function and dealing with existing limitations and data uncertainty. This article discusses the background of the problem and the purpose of creating an article, provides an overview of bibliometric map analysis methods and discusses literature and studies. Critical review from OR database articles for supply chain problems are used as a reference, so at the end, it can be determined what novelty is an opportunity for further research.

Highlights

  • This section describes a descriptive analysis of studies related to the Robust Optimization model for food supply chain management

  • The database of articles related to topics sourced from the Publish or Perish application is stored in "*ris" format and analyzed descriptively

  • The database used focuses on the publication of Google Scholar and is extracted into the VOSviewer application to obtain a bibliometric map of research

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Summary

Materials and Methods

Many previous articles have discussed the Robust Optimization (RO) Model for supply chain problems under the uncertainty parameter. This article will discuss the relevance and novelty of previous research related to RO on the food distribution supply chain problem using the location-routing model. The link between the food supply chain and the location-routing model with the keywords "supply chain", "food", and "location-routing" (2). The relationship between RO and the food supply chain with the keywords "robust optimization", "supply chain", and "food", and (3). The combination of RO for the supply chain problem and the location-routing model with the keywords "supply chain", "food", "robust optimization", and "location-routing". All articles obtained using the Publish or Perish application filtered and matched with the inputted keywords, aiming to provide conclusions about the novelty that must be done in future research. The analysis will be discussed in the results and discussion section

Results and Discussion
The Food Supply Chain Using a Location-Routing Model
Robust Optimization for Food Supply Chain Problems
Robust Optimization for Supply Chain Problems Using the Location-Routing
Conclussion
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