References of the Opus Suite

Below we listed and shortly portrayed reference projects of various sectors for you to attain an overview of potential appli­ca­tions of Opus Suite.

The defense sector is only added to complete the list.

GRABAND can support you in all sectors, apart from defense. If you however are seeking support in the defense sector, you will find the right partner in Systecon.

Availa­bi­lity Analyses of the East Anglia Wind Power Project

Vatten­fall and Scottish Power have formed the company East Anglia Offshore Wind (EAOW) for the purpose of develo­ping the East Anglia wind farm in the North Sea, off the east coast of England. The United Kingdom has big plans for offshore wind energy, and has assigned lease agree­ments for about ten develo­p­ment zones. East Anglia is one of these develo­p­ment zones; it is expected to encompass 7,200 MW installed wind power capacity, the equiva­lent of 1,000 – 2,000 wind turbines.

Operation and mainten­ance of offshore wind turbines is compli­cated. Strong winds provide good power genera­ting condi­tions but also make mainten­ance work more difficult. Personnel and equipment must be trans­ported to and from the turbines – a challenge in terms of safety and cost effec­ti­ve­ness in areas with harsh weather condi­tions.

Systecon was hired by EAOW to use modeling and simula­tion to analyze different logistics concepts for the first construc­tion phase of East Anglia.

The East Anglia SIMLOX simula­tions are based on  meteo­ro­lo­gical data for the area, system data and data for mainten­ance resources (e.g. boats and helic­op­ters).

Spare Parts for the Mainten­ance Contracts of a Civil Airline

Running an airline is unavo­id­ably expensive and many airlines operate with low margins. An airline can trim operating expenses in many different ways. The potential for savings is usually great in the costly area of supply of spare and circu­la­ting parts.

At the time of this project, the company now known as ST Aerospace Solutions Europe, was SAS Component and offered repair services and supply of circu­la­ting compon­ents to SAS and other airlines within the Scandi­na­vian Airlines system.

This included manage­ment of the customer’s inventory of circu­la­ting parts. This type of pooling-arran­ge­ment facili­tates cost effective support of the aircraft with the objective to minimize downtime due to mainten­ance and repair.

SAS Component wanted to evaluate the potential benefits of using a more advanced tool for spare parts optimiza­tion. Systecon was therefore asked to perform a study with the following results:

• Determine and evaluate current status – what theore­tical service levels were possible, conside­ring the current invest­ment, inventory, and alloca­tion?
• Estimate savings poten­tials when using OPUS10 – what would be the optimal spare parts invest­ment if comple­tely new provi­sio­ning were to be imple­mented?
• Suggest changes for short-term impro­ve­ment.
• Determine requi­re­ments for direct data transfers with OPUS10 from existing ERP-systems (Enter­prise-Resource-Planning-Systems).

Dimen­sio­ning Commuter Train Depot Capacity

To demons­trate the need for invest­ment, the commuter rail division of the Stockholm Public Transport Authority commis­sioned Systecon to prepare a strategic depot capacity report. Throug­hout the project, heavy focus was placed on colla­bo­ra­tion and exchange of infor­ma­tion with vehicle owners, depot owners, operators, and vehicle maintai­ners.

The project was conducted in three steps: collec­ting infor­ma­tion, simula­tion and analysis.

Collec­ting infor­ma­tion: Through a series of inter­views and workshops, we identi­fied critical background infor­ma­tion, such as existing depot capacity, future expected vehicle deliveries, mainten­ance schedules and mainten­ance concepts, the current relia­bi­lity status of the vehicle fleet, and desired traffic time-tables.

Simula­tion: The next step consisted of creating a custo­mized SIMLOX model, based on the processed data  collected. Based on this model, several simula­tion runs were performed with the results becoming the starting point of the analysis work.

Analysis: Eventually, the simula­tion results from each run were scored and inter­preted using proven metho­do­logy. A compre­hen­sive report detailing bottlen­ecks and recom­men­da­tions was prepared. The report also included a quanti­ta­tive assess­ment of several alter­na­tive scenarios.