Analyse and optimise logistical business processes efficiently and effectively with simulations

This may sound familiar: Logistical business processes, planning processes in the ERP system, and the value streams get increasingly complex with an increasing product variety. In consequence, operating procedures are neglected, get cumbersome and receive makeshift repairs. Often logistical business processes are not even consistent across the company’s departments. As a result, excessive amounts of money or time are spent on such business processes.

The objective is clear: The business process has to be simplified and shortened while its efficiency has to be raised in order to reduce costs and gain momentum and flexibility on the market.

Logistical Process Analysis

Logistical Process Analysis

How can you achieve these goals efficiently while being sure to have found the right solution? In order to accomplish effective and sustainable logistical optimisation, it is necessary to capture and quantify the overall logistics processes and their interdependencies as well as identify the correct levers to optimise the entire system and adjust it appropriately.

We therefore analyse and optimise logistical processes, even with widely fluctuating demand patterns and complex value chains, with the aid of our simulation-driven approach and filter out the required levers and measures using constraint analysis.

Building on our consultants’ extensive experience from numerous projects, we simulate different value streams with various performance parameters as well as different material management strategies, thus finding the best possible solution.

In doing so, we quickly move to secure decisions, saving precious time between concepts, implementation and resulting profit.

A traditional process analysis and optimisation approach attempts to optimise the logistical business processes in large-scale process mappings, documentations, interviews, and workshops, usually setting off numerous sub-tasks for the staff. It requires plenty of time and money, yet often fails.

Our lean approach, however,

  • demands only little time from participants,
  • requires no overtime for extra-tasks,
  • needs no supervising project management,
  • shows fast results,
  • has never failed.

Moreover, the conventional process optimisation fails to calculate the relative effectiveness of alternative solutions and relies on experience alone. Our simulation-assisted approach, however, supplies well-defined numerical values and a clear evaluation of alternative levers, solutions and action plans.

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