{"id":10290,"date":"2024-04-25T10:46:06","date_gmt":"2024-04-25T08:46:06","guid":{"rendered":"https:\/\/diagma.com\/?p=10290"},"modified":"2024-12-16T11:02:54","modified_gmt":"2024-12-16T10:02:54","slug":"support-your-sop-with-a-robust-information-system","status":"publish","type":"post","link":"https:\/\/diagma.com\/en\/support-your-sop-with-a-robust-information-system\/","title":{"rendered":"SUPPORT YOUR S&OP WITH A ROBUST INFORMATION SYSTEM"},"content":{"rendered":"

The 4th part of our approach focuses on the importance of supporting the S&OP process<\/strong> with a robust and appropriate Information System. This Information System can be based on several software packages.<\/p>\n

Four software families to support S&OP<\/strong><\/h2>\n

In general, an S&OP process relies on an ERP<\/strong> (Enterprise Resource Planning), accompanied by a BI (Business Intelligence) tool. It can also use an APS<\/strong> (Advanced Planning System) to support the \u201cbusiness\u201d processes inherent in S&OP. And depending on the issues at stake, an EPM (Enterprise Performance Model) can reinforce the collaborative aspect of this process.<\/p>\n

Implementing these software solutions helps to anchor the S&OP<\/strong> process within a company over the long term. What’s more, the right combination of software makes the process more efficient over time. Last but not least, S&OP tools make it less dependent on the employees involved..<\/p>\n

S&OP information systems: each to his own role<\/strong><\/h2>\n

ERP<\/strong> and BI<\/strong> tools, which transform raw data into relevant, usable information, provide a picture of the past and present. They are useful for analysis.<\/p>\n

An APS<\/strong>, on the other hand, envisages a probable future over a 12 to 24-month horizon. It calculates and plans forecast demand. It also plans production, supplies, distribution, inventories, etc.<\/p>\n

Moreover, with its solvers, an APS optimizes results while respecting capacity constraints. It also \u201cpenalizes\u201d plans that fail to do so. Calculating the capacity freed up by reducing the complexity of the range is an example of optimization. The aim of APS is to project future demand. It also means planning the industrial and logistical resources that will best meet it. In addition, its data feed into the construction of scenarios as part of the S&OP process for arbitration by the Managing Director.<\/p>\n

Azap, QAD Dynasys, Futurmaster, O9 or SAP\/IBP are examples of APS solutions.<\/p>\n

EPM to manage the S&OP process<\/strong><\/h2>\n

In order to develop and align all company functions around scenarios, in terms of volume but above all in terms of value, it is worthwhile implementing a cross-functional simulation and collaboration tool.<\/p>\n

Through configurable workflows, the system should enable all players to play their part in the construction, validation and prioritization of scenarios to be presented to the Managing Director and his Executive Committee for final arbitration, during the executive S&OP review.<\/p>\n

Scenarios can be studied from an industrial, logistics and procurement angle. For example, we can calculate the ROI (Return On Investment) if a 3rd shift has to be added in the factory to meet increased demand. Scenarios can also be business-oriented. For example, we can calculate the ROI of setting up an additional promotional operation on unsaturated lines, to reach its budget target.<\/p>\n

Scenarios need to be modeled, then managed collaboratively by all key players. This is typically the function of EPM software, such as the Board, Anaplan or Tableau platforms. As Information Systems supporting S&OP, some APS also offer similar pre-packaged functionalities<\/p>\n

.<\/span>The importance of an S&OP culture<\/strong><\/h2>\n

But let’s be clear. Technology and digital tools will never replace a virtuous organization and corporate culture. They must foster teamwork and constructive conflict resolution. They must also equip themselves with data analysis skills. Last but not least, they must ensure that the Managing Director and the Executive Committee are capable of arbitration.<\/p>\n

These topics will be covered in the next article.<\/p>\n

And you, which Information Systems do you consider relevant for running a successful S&OP?<\/strong><\/p>\n

A PROJECT? A QUESTION?
\nCONTACT-US !<\/a><\/strong><\/p>\n

\"Olivier<\/p>\n

Olivier Gautier
\nDirector at\u00a0 chez DIAGMA<\/p>\n

 <\/p>\n

Previous articles on S&OP :<\/strong><\/p>\n

\u00a0ALIGN YOUR S&OP WITH YOUR BUSINESS STRATEGY\u00a0<\/a><\/strong><\/p>\n

BUILD A MORE EFFICIENT S&O PROCESS<\/a><\/strong><\/p>\n

FEED YOUR S&OP WITH EFFICIENT BUSINESS PROCESSES<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Pour DIAGMA, le S&OP (Sales & Operations Planning) est un processus de pilotage et d\u2019acc\u00e9l\u00e9ration de la croissance du chiffre d\u2019affaires et de la rentabilit\u00e9 des entreprises.
\nMais quel Syst\u00e8me d\u2019Information est le plus apte \u00e0 supporter ce processus ?<\/p>\n","protected":false},"author":12,"featured_media":10009,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[183],"tags":[],"acf":[],"yoast_head":"\nSUPPORT YOUR S&OP WITH A ROBUST INFORMATION SYSTEM - Diagma<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/diagma.com\/en\/support-your-sop-with-a-robust-information-system\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SUPPORT YOUR S&OP WITH A ROBUST INFORMATION SYSTEM\" \/>\n<meta property=\"og:description\" content=\"Pour DIAGMA, le S&OP (Sales & Operations Planning) est un processus de pilotage et d\u2019acc\u00e9l\u00e9ration de la croissance du chiffre d\u2019affaires et de la rentabilit\u00e9 des entreprises. 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