Transport optimization

Success with standardized procedures

Each opti­miz­a­ti­on pro­ject is uni­que, the pre­re­qui­si­tes, requi­re­ments and expec­ta­ti­ons are dif­fe­rent. Nevertheless, the approach and pro­ce­du­re of the pro­ject can be stan­dar­di­zed. This enab­les us to achie­ve com­pa­ra­ble results with mini­mal costs, redu­ced error sus­cep­ti­bi­li­ty and fast through­put times. Expe­ri­en­ces from various pro­jects are incor­po­ra­ted into the standard.

Trust the facts

Trust your own data, crea­te facts that reflect your own busi­ness. Key figu­res from other pro­jects can help to iden­ti­fy out­liers, but are never a sub­sti­tu­te for the deve­lo­p­ment of your own key figu­res, which in turn requi­res detail­ed ana­ly­ses. Sta­tis­ti­cal methods are used to obtain infor­ma­ti­on from collec­ted nume­ri­cal data. An explo­ra­to­ry data ana­ly­sis reve­als cor­re­la­ti­ons bet­ween dif­fe­rent varia­bles and dis­plays them with key figu­res and (geo)graphic representations.

IST Mapping of today’s tours as a basis for the comparative baseline

The actu­al image is adju­sted until the devia­ti­on of the data from the accoun­ting and the data in the simu­la­ti­on system is only a few per­cent. The Big Pic­tu­re is accep­ted by the custo­mer. The data and para­me­ters deter­mi­ned in this way are then used to cal­cu­la­te free plan­ning as a base­li­ne. The actu­al costs are used for cali­bra­ti­on and the costs of the base­li­ne are used to com­pa­re the other sce­n­a­ri­os. Alrea­dy in this pro­cess step, the first opti­miz­a­ti­on approa­ches and quick­wins are often shown.

Forming tactical and strategic scenarios

 

With the help of a mor­pho­lo­gi­cal box we repre­sent the influ­en­cing levers and their pos­si­ble cha­rac­te­ri­stics. The sce­n­a­ri­os to be cal­cu­la­ted are then deter­mi­ned tog­e­ther with the custo­mer. Expe­ri­ence has shown that the cal­cu­la­ti­on results in turn yield fin­dings which can lead to new oceanography.

Detailed planning

 

If the final sce­n­a­rio has been found (even­tual­ly several), the final imple­men­ta­ti­on plan is crea­ted for this sce­n­a­rio. This pro­vi­des you with a detail­ed basis for the imple­men­ta­ti­on of the opti­miz­a­ti­on project.

Consider forecasts and trends in the scenarios

They face the chal­len­ge of having to deci­de today on invest­ments that will have con­se­quen­ces for their busi­ness over the next 5,10 or 20 years. We com­pi­le the rele­vant trends, for examp­le as input and sup­ple­ment to sce­n­a­ri­os. They quan­ti­fy their impact on their plan­ned pro­ject and simu­la­te the impact in terms of time and cost.

The fol­lo­wing topics can be ana­ly­sed as examples:

 

  • Traf­fic: How does the sales volu­me in Switz­er­land and neigh­bou­ring coun­tries deve­lop on roads, rail­ways and in the air?
  •  Vehi­cles: Which new vehi­cle con­cepts are avail­ab­le at what time and which oppor­tu­nities and pos­si­bi­li­ties will open up for you?.
  • Col­la­bo­ra­ti­ve approa­ches: How do freight exchan­ges deve­lop, for examp­le, and how can they be quan­ti­ta­tively map­ped in their concept?
  • Influ­ence of digi­ta­li­sa­ti­on on logi­stics chains: Faster order pro­ces­sing, per­so­na­li­sed solu­ti­ons, the Inter­net of things. RFID use.
  • Modern logi­stics con­cept­sncepts logi­sti­ques moder­nes: Trans­port bund­ling, green logi­stics, vehi­cle tech­no­lo­gies, etc.…..
  • Socie­ty: Chan­ge in con­su­mer beha­viour and other con­su­mer expectations.

You are looking for the optimal location for depots, warehouses etc., we will calculate it.

Opti­mal loca­ti­ons for depots and wareh­ou­ses are cru­cial for effi­ci­ent trans­port logi­stics. We car­ry out the loca­ti­on ana­ly­sis accord­ing to your spe­ci­fi­ca­ti­ons and eva­lua­te the impact of alter­na­ti­ve sto­rage and hub loca­ti­ons on costs. Logi­stics loca­ti­ons are the inter­face bet­ween custo­mer and pro­duc­tion on the one hand and the main leg on the other, for­ming the back­bone of every trans­port network.

Predictive Analytics

Digi­tal trans­for­ma­ti­on incre­a­singly deter­mi­nes busi­ness pro­ces­ses in com­pa­nies and influ­en­ces their eco­no­mic suc­cess. In all are­as huge amounts of data are gene­ra­ted, which offer enor­mous pos­si­bi­li­ties and poten­ti­als. With Pre­dic­ti­ve Ana­ly­tics we help you to con­vert this data into values, auto­ma­te pro­ces­ses and thus start the digi­tal transformation.

Pro­ject examples:

  • Deter­mi­na­ti­on of the opti­mum empty­ing time of an under­floor container;
  • Deter­mi­na­ti­on of the opti­mal rep­le­nish­ment time for mer­chan­di­sing POS;
  • Cal­cu­la­ti­on of the opti­mal empty­ing routes.