OR/MS research in disaster operations management

We review the OR/MS literature on supply chain disruptions in order to take stock of the research to date and to provide an overview of the research questions that have been addressed. We first place disruptions in the context of other forms of supply uncertainty and discuss common modeling approaches. We then discuss nearly 150 scholarly works on the topic, organized into six categories: evaluating supply disruptions; strategic decisions; sourcing decisions; contracts and incentives; inventory; and facility location. We conclude with a discussion of future research directions.

https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=1689882

OR/MS Models for Supply Chain Disruptions: A Review

We review the Operations Research/Management Science (OR/MS) literature on supply chain disruptions in order to take stock of the research to date and to provide an overview of the research questio...

OR/MS models for supply chain disruptions: a review

http://www.uniroma2.it/didattica/PSSPS/deposito/r_interdiction_median_problem.pdf

A bilevel mixed-integer program for critical infrastructure protection planning

Recent events have highlighted the need for planners to consider the risk of disruptions when designing supply chain networks. Supply chain disruptions have a number of causes and may take a number of forms. Once a disruption occurs, there is very little recourse regarding supply chain infrastructure because these strategic decisions can- not be changed quickly. Therefore, it is critical to account for disruptions during the design of supply chain networks so that they perform well even after a disruption. Indeed, these systems can often be made substantially more reliable with only small additional investments in infrastructure. Planners have a range of options available to them in designing resilient supply chain networks, and their choice of approaches will depend on the financial resources available, the decision maker's risk preference, the type of network under consideration, and other factors. In this tutorial, we present a broad range of models for designing supply chains resilient to disruptions. We first cat- egorize these models by the status of the existing network: A network may be designed from scratch, or an existing network may be modified to prevent disruptions at some facilities. We next divide each category based on the underlying optimization model (facility location or network design) and the risk measure (expected cost or worst-case cost).

https://pubsonline.informs.org/doi/pdf/10.1287/educ.1063.0025

Planning for Disruptions in Supply Chain Networks

On solving unreliable planar location problems

A multi-criteria, weighted approach is developed to form machine cells and part families for configuring cellular manufacturing systems. The considered parameters include cycle demand, batch size, pallet size, routeing sequences, processing times, machine capacities, and workload status of machines. In the cell formation process, a weighted criterion is used to measure both part movement between machine cells and workload balance among duplicated machines. An example is used to illustrate computational procedures of the approach and significance of workload balance. Large problems with up to 102 machines and 180 part types are tested and analysed in the computational experiments. Numerical results indicate that the weighted approach is flexible, efficient, and effective for the tested problems. We also compared and analysed cell formation results that are developed by using singular and weighted criteria.

A weighted approach for cellular manufacturing design: Minimizing intercell movement and balancing workload among duplicated machines

Joint determination of machine cells and linear intercell layout

An integrated production/delivery quantity model in a make-to-order producer–buyer supply chain is analyzed in this paper. The coordinated policy is achieved by scheduling single setup at the producer with multi-delivery to the buyer. We develop two synchronized cost models that include setup cost at the producer, ordering cost at the buyer, inventory carrying cost, and transportation cost that is a fitted power function of delivery quantity, using actual shipping rate data. The mathematical analysis and computational study have demonstrated that significant cost savings can be realized by implementing the proposed approach into the network optimization process.

Joint production and delivery lot sizing for a make-to-order producer–buyer supply chain with transportation cost

This paper addresses the joint problem of the cell formation and the intercell layout, in which machine cells are located along a linear flow layout. The objective is to minimize the actual intercell flow cost, instead of the typical measure that optimizes the number of intercell movements. A genetic-based algorithm with optimal partition approach is developed for solving the joint problem. In the proposed approach, the genetic operators are used to generate a pool of solutions, where the solution represents the sequence of machines in the linear layout and each sequence of machines is an individual in the population. The evaluation function, machine cells and its intercell flow cost of each solution are determined by a dynamic programming algorithm, where a sequence of machines is partitioned into several segments or cells, subject to a cell size constraint. In this sense, the genetic algorithm is enhanced with the optimization framework in the proposed approach. The computational efficiency has also bee...

Shine-Der Lee

Papers

On solving unreliable planar location problems

A weighted approach for cellular manufacturing design: Minimizing intercell movement and balancing workload among duplicated machines

Joint determination of machine cells and linear intercell layout

Joint production and delivery lot sizing for a make-to-order producer–buyer supply chain with transportation cost

A genetic-based algorithm with the optimal partition approach for the cell formation in bi-directional linear flow layout