温馨提示：本站仅提供公开网络链接索引服务，不存储、不篡改任何第三方内容，所有内容版权归原作者所有
AI智能索引来源：http://www.tup.com/en/logistikknowhow/aps-systems-optimisation-and-empirical-knowledge
点击访问原文链接

APS systems: optimisation and empirical knowledge

进入原网站 导航首页
APS systems: optimisation and empirical knowledge TUP GmbH & Co. KG - Warehouse Management Solutions

Our company Latest news Glossary Logistics software Warehouse Management Solutions TUP.WMS – Warehouse Management System TUP.MFC – Material Flow Control Mobile Aviation System Extensions Software follows function Project process Migration strategy Software philosophy Success Stories Bosch Breuninger Grass Zalando More success stories Logistics services Planning & consulting Intralogistics consulting Intralogistics planning Warehouse modernization IT infrastructure System integration Software consulting Hardware consulting System hosting IT services System training Maintenance Customer Support 24/7 References Career People & values Vacancies Vocational training at TUP Logistik knowhow Contact Search Our company Latest news Glossary

Logistik knowhow - The original

Advanced Planning and Scheduling (APS) systems support forward-looking planning across several stages of the value chain, from the supplier to the customer – or even beyond. To this end, they determine dependencies between processes and their impact on scheduling and capacity requirements. The planning and scheduling of processes is supported by visualisations, rules and optimisation procedures.

If there are several bottlenecks that are already being utilised around the clock and cannot be substituted, capacity becomes a hard constraint. If the order volume is also very high or the production structure is very complex – e.g. if several operations of an order are processed at the same bottleneck – optimisation or automation, see also Business Intelligence, proves to be a welcome support. Most APS systems focus on this optimisation and skip the basics of interactive planning completely or partially.

How optimal is optimisation? Mathematically speaking, optimisation always delivers the best result, but only in accordance with the defined objectives and boundary conditions. However, for the core tasks of APS systems – production planning and scheduling – it is not possible to carry out mathematical optimisation due to the combinatorial possibilities of sequencing. Instead, mathematical heuristics are used to find the best possible solution in the foreseeable future. These heuristics are usually also referred to as optimisation. An example of this is palletising or block heuristics in intralogistics.

Optimisers for simplified, period-related rough-cut planning are excluded from the following consideration, as these allow other optimisation algorithms due to their simplified task definition. However, these simplifications mean that many production constraints cannot be mapped and defects such as uncontrolled overlaps in processing and/or uncontrolled expansions in throughput time occur.

It is difficult to compare optimisers, as the optimisation tasks vary depending on the data model (i.e. the APS system), company and order situation. What applies to all optimisers, however, is that every optimiser has its limits and – contrary to what the name suggests – does not generally deliver the best economic result in practice.

APS: The limits of optimisation The extreme case for the use of optimisation is that the optimiser of the APS system controls production and replaces the planner. In practice, this only works in exceptional cases. As helpful and time-saving as optimisation can be, attempts to bypass the planner are problematic. In many cases, these approaches simply fail due to poor results. In other cases – if the potential for improvement compared to the previous planning is large enough – the result falls short of the possibilities.

The most common shortcomings of an optimisation result are unnecessarily high delays to the customer, high turnaround times and inconsistent planning results. This results in a shift of effort from planning to master data maintenance and problem solving at the execution level. The latter is problematic because it establishes an informal parallel organisation that increasingly ignores the planning specifications.

There are four main reasons for the shortcomings in the optimisation results:

Poor master data quality Poor starting point for optimisation Flexibility of the organisation is not sufficiently taken into account Insufficient information content As a result, the optimisation result lags behind the planner’s planning, at least as far as these points are concerned. Attempts to map the complexity of reality using systems technology have proven to be a mistake. Even a moderate increase in the level of detail often means that APS systems are no longer operable due to their complexity – which in turn leads to other errors.

Conclusion: In order to utilise the economic potential of planning, it is essential that planners are offered sufficient analysis and intervention options. If these interactive intervention options are missing, neither the frequent shortcomings of unnecessary delays can be remedied, nor are there any options for reacting to orders with special priority. If companies rely solely on the inadequate optimisation provided by the APS system, another problematic aspect becomes apparent: the question of responsibility for the plan. If the planner can no longer plan, who is responsible for low delivery reliability and high stock levels?

For more information on this topic, see What requirements an APS system must fulfil – Part I and What requirements an APS system must fulfil – Part II.

Image source: © Wassermann AG

PrevNext

TUP GmbH & Co. KG

Thanks to its flexibility, TUP’s combinable warehouse management software always delivers the most effective solution and is also highly reusable.

Contact

Fraunhoferstraße 1
D 76297 Stutensee
what3words http:///ersehnt.beruf.hell

Phone: +49 721 7834-0
E-mail: infoka@tup.com

Logistics software

TUP.WMS – Warehouse Management System TUP.MFC – The Material flow control Mobile Aviation System Extensions

Logistics services

Intralogistics consulting Planning and realization of your intralogistics Warehouse modernization System integration Software consulting Hardware IT infrastructure consulting System-Hosting System training Maintenance Customer Support 24/7

Career

People & values vacancies Vocational training at TUP

Legal information

Privacy policy Cookie guideline (EU) Legal notice Anyonymous Notice Grounding Page

News

Change Management in Intralogistics Minimum viable change as a compass for successful retrofits and greenfield projects Retrofit par excellence: TUP modernizes material flow control at Hermes shipping center Feature article – Customized intralogistics solutions TUP develops its own AI ecosystem © 2024 TUP GmbH & Co. KG – Warehouse Management Solutions

English

English Deutsch Español Français Italiano Polski Svenska Suomi Português Română Slovenščina Slovenčina Nederlands Dansk Ελληνικά Čeština Magyar Lietuvių Latviešu Eesti Hrvatski Gaeilge Български Norsk Türkçe Bahasa Indonesia Português (Brasil) 日本語 한국어 简体中文 العربية Русский हिन्दी Українська Srpski Accessibility Adjustments Powered by OneTap

Select your accessibility profile Vision Impaired Mode Enhances website's visuals Seizure Safe Profile Clear flashes & reduces color ADHD Friendly Mode Focused browsing, distraction-free Blindness Mode Reduces distractions, improves focus Epilepsy Safe Mode Dims colors and stops blinking Content Bigger Text

Cursor

Line Height

Letter Spacing

Readable Font Dyslexic Font Align Text

Text Magnifier Highlight Links Colors Invert Colors

Brightness

Contrast

Grayscale

Saturation

Orientation Reading Line Keyboard Navigation Highlight Titles Reading Mask Hide Images Highlight Al Read Page Mute Sounds Stop Animations Reset Settings Version 6.4.0 Cookie-Zustimmung verwalten Wir verwenden Cookies, um Inhalte und Anzeigen zu personalisieren, Funktionen für soziale Medien anbieten zu können und die Zugriffe auf unsere Website zu analysieren. Funktional Funktional Always active Die technische Speicherung oder der Zugang ist unbedingt erforderlich für den rechtmäßigen Zweck, die Nutzung eines bestimmten Dienstes zu ermöglichen, der vom Teilnehmer oder Nutzer ausdrücklich gewünscht wird, oder für den alleinigen Zweck, die Übertragung einer Nachricht über ein elektronisches Kommunikationsnetz durchzuführen. Vorlieben Vorlieben Die technische Speicherung oder der Zugriff ist für den rechtmäßigen Zweck der Speicherung von Präferenzen erforderlich, die nicht vom Abonnenten oder Benutzer angefordert wurden. Statistiken Statistiken Die technische Speicherung oder der Zugriff, der ausschließlich zu statistischen Zwecken erfolgt. Die technische Speicherung oder der Zugriff, der ausschließlich zu anonymen statistischen Zwecken verwendet wird. Ohne eine Vorladung, die freiwillige Zustimmung deines Internetdienstanbieters oder zusätzliche Aufzeichnungen von Dritten können die zu diesem Zweck gespeicherten oder abgerufenen Informationen allein in der Regel nicht dazu verwendet werden, dich zu identifizieren. Marketing Marketing Die technische Speicherung oder der Zugriff ist erforderlich, um Nutzerprofile zu erstellen, um Werbung zu versenden oder um den Nutzer auf einer Website oder über mehrere Websites hinweg zu ähnlichen Marketingzwecken zu verfolgen. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Cookies akzeptieren Ablehnen Einstellungen anzeigen Einstellungen speichern Einstellungen anzeigen {title} {title} {title} Zustimmung verwalten

智能索引记录