PROMETHEE: A comprehensive literature review on methodologies and applications

http://www3.eng.cam.ac.uk/~hj231/Papers/rostering.pdf

Staff scheduling and rostering: A review of applications, methods and models

Operating room planning and scheduling: A literature review

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. The need for quality software solutions is acute for a number of reasons. In particular, it is very important to efficiently utilise time and effort, to evenly balance the workload among people and to attempt to satisfy personnel preferences. A high quality roster can lead to a more contented and thus more effective workforce.

In this review, we discuss nurse rostering within the global personnel scheduling problem in healthcare. We begin by briefly discussing the review and overview papers that have appeared in the literature and by noting the role that nurse rostering plays within the wider context of longer term hospital personnel planning. The main body of the paper describes and critically evaluates solution approaches which span the interdisciplinary spectrum from operations research techniques to artificial intelligence methods. We conclude by drawing on the strengths and weaknesses of the literature to outline the key issues that need addressing in future nurse rostering research.

/pdf/the-state-of-the-art-of-nurse-rostering-4uxzrvsub8.pdf

The State of the Art of Nurse Rostering

Personnel scheduling: A literature review

Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure

A supply chain (SC) distribution network design model is developed in this paper. The goal of the model is to select the optimum numbers, locations and capacity levels of plants and warehouses to deliver products to retailers at the least cost while satisfying desired service level to retailers. A maximal covering approach is used in statement of the service level. The model distinguishes itself from other models in this field in the modeling approach used. Because of somewhat imprecise nature of retailers’ demands and decision makers’ (DM) aspiration levels for the goals, a fuzzy modeling approach is used. Additionally, a novel and generic interactive fuzzy goal programming (IFGP)-based solution approach is proposed to determine the preferred compromise solution. To explore the viability of the proposed model and the solution approach, computational experiments are performed on realistic scale case problems.

A supply chain distribution network design model: An interactive fuzzy goal programming-based solution approach

Collaborative production–distribution planning problem in supply chain systems is dealt with in this paper. A multi-objective linear programming model is developed in this concern. In order to reflect the collaborative planning issues to the model and to provide a more realistic model structure, decision makers’ imprecise aspiration levels for the goals are incorporated into the model using fuzzy goal programming approach. To explore the viability of different fuzzy goal programming approaches for the collaborative production–distribution problem in different supply chain structures, i.e. centralized and decentralized, computational experiments are performed on a hypothetically constructed case problem. Computational results support our assertion that fuzzy goal programming approaches can effectively be used in handling the collaborative production–distribution planning problems in different supply chain structures.

Irem Ozkarahan

Papers

Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure

A supply chain distribution network design model: An interactive fuzzy goal programming-based solution approach

Collaborative production–distribution planning in supply chain: A fuzzy goal programming approach

An integrated multicriteria decision-making methodology for outsourcing management

A fuzzy multi-objective covering-based vehicle location model for emergency services