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Article
Publication date: 20 March 2007

Bjørnar Aas, Irina Gribkovskaia, Øyvind Halskau and Alexander Shlopak

In the Norwegian oil and gas industry the upstream logistics includes providing the offshore installations with needed supplies and return flow of used materials and equipment…

1890

Abstract

Purpose

In the Norwegian oil and gas industry the upstream logistics includes providing the offshore installations with needed supplies and return flow of used materials and equipment. This paper considers a real‐life routing problem for supply vessels serving offshore installations at Haltenbanken off the northwest coast of Norway from its onshore supply base. The purpose of the paper is to explore how the offshore installation's limited storage capacity affects the routing of the supply vessels aiming towards creating efficient routes.

Design/methodology/approach

A simplified version of the real‐life routing problem for one supply vessel is formulated as a mixed integer linear programming model that contains constraints reflecting the storage requirements problem. These constraints ensure that there is enough capacity at the platform decks and that it is possible to perform both pickup and delivery services.

Findings

The model has been tested on real‐life‐sized instances based on data provided by the Norwegian oil company Statoil ASA. The tests show that in order to obtain optimal solutions to the pickup and delivery problem with limited free storage capacities at installations, one has to include in the formulation the new sets of constraints, the storage feasibility and the service feasibility requirements. In addition, two visits to some platforms are necessary to obtain optimality.

Research limitations/implications

The main limitation is the present inability to solve large cases.

Originality/value

The contribution of this paper is to provide a better insight into a real‐life routing problem which has a unique feature arising from the limited deck capacity at the offshore installations that complicates the performance of service. This feature has neither been discussed nor modeled in the vehicle routing literature before, hence the formulation of the problem is original and reveals some interesting results.

Details

International Journal of Physical Distribution & Logistics Management, vol. 37 no. 2
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 1 February 2006

Irina Gribkovskaia, Bjørn O. Gullberg, Karl J. Hovden and Stein W. Wallace

The value chain of the Norwegian meat production industry has recently been through major structural changes resulting in increased flows and transportation needs at all levels…

2039

Abstract

Purpose

The value chain of the Norwegian meat production industry has recently been through major structural changes resulting in increased flows and transportation needs at all levels. The purpose of this paper is to present results of the initial stage of a five‐year research project between the Norwegian Meat Research Centre, Norwegian meat companies and Molde University College. The main goal of the project is to develop a decision support system for the transport of live animals to a slaughterhouse to reduce transportation costs while maintaining high level of livestock welfare and meat quality, as these are three main factors for the profitability of both farmers and industry.

Design/methodology/approach

The paper presents a mixed integer programming model that combines vehicle routing and inventory control. We introduce the possibility for multiple routes for a given vehicle on a given day in a multiple‐period planning perspective. Arrival times of the loaded vehicles to the slaughterhouse are controlled by production (slaughter) rate and inventory level at the abattoirs so that the supply of animals for slaughter is steady and production breaks are avoided. Livestock welfare is secured by the route duration constraints.

Findings

The model has been formulated and tested on small data sets. The major future challenge is to solve real‐life problems from the involved companies.

Research limitations/implications

The main limitation is the present inability to solve large cases.

Originality/value

The model combining transportation and inventory control in a setting of animal welfare constraints is original.

Details

International Journal of Physical Distribution & Logistics Management, vol. 36 no. 2
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 17 May 2011

Fubin Qian, Irina Gribkovskaia and Øyvind Halskau Sr

In the Norwegian offshore oil industry, helicopters have been used as a major mode of transporting personnel to and from offshore installations for decades. Helicopter…

905

Abstract

Purpose

In the Norwegian offshore oil industry, helicopters have been used as a major mode of transporting personnel to and from offshore installations for decades. Helicopter transportation represents one of the major risks for offshore employees. The purpose of this paper is to study the safety of helicopter transportation in terms of the expected number of fatalities on an operational planning level.

Design/methodology/approach

Based on an analysis of helicopter accidents, this paper proposes a mathematical model that can aid in the planning of routes for the fleet in order to minimize the expected number of fatalities.

Findings

A theorem proven in this paper tells that hub-and-spoke configuration is the best way of routing helicopters in terms of minimizing expected number of fatalities. Computational results indicate that the expected number of fatalities may be reduced at the expense of longer travel time by implementing the proposed method into planning of routes for helicopter fleet.

Research limitations/implications

The main limitation is the present inability to solve large problem instances.

Practical implications

The suggested tool is able to provide decision makers with a set of solutions from which they can choose the one with the best trade-off between travel time and transportation safety.

Originality/value

The mathematical model and theoretical results for route planning with a safety-based objective are original.

Details

International Journal of Physical Distribution & Logistics Management, vol. 41 no. 4
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 17 May 2011

Jan Stentoft Arlbjorn

23

Abstract

Details

International Journal of Physical Distribution & Logistics Management, vol. 41 no. 4
Type: Research Article
ISSN: 0960-0035

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