Digitalización industrialPLM MES/MOM

Maturity level of the MOM capabilities of an industry

By 24 September, 2021 No Comments
capacidades MOM de una industria

The concept of smart manufacturing has emerged as a new paradigm by which manufacturers can enhance their competitiveness in the marketplace. This paradigm can be seen as the convergence of ICT with human capabilities and manufacturing technologies.

The Smart Factory is expected to bring performance improvements to industry and for this, companies must make a significant effort to prepare themselves to adopt these new technologies and reap the full benefits. Both large companies and SMEs must select, prioritise correctly and consider that other improvements – organisational and process – may be necessary to get the maximum benefit.

Manufacturers typically lack a concrete methodology for selecting and prioritising all of these emerging technologies for creating smart factories and smart manufacturing systems. To this end, larger companies can hire consultants to help with these issues, however small and medium-sized manufacturers typically do not have the funds to do the same.

Readiness Levels provide companies with an indication of their current factory status compared to a reference model. Knowing this status, companies can develop a plan to increase their Readiness.

Several types of readiness levels are used in the manufacturing sector.

Technology Readiness Level (TRL) indicates the maturity of a technology for commercial adoption. Similarly, the Manufacturing Readiness Level (MRL) indicates the maturity of a manufacturing process technology. However, neither evaluates a particular company on its readiness to adopt a particular technology.

MESA’s Manufacturing Transformation Strategy (MTS) provides a framework based on the ISA-95 standard to prepare an organisation for the adoption of Manufacturing Operations Management (MOM) technologies in four business domains: Business Processes, Organisational Structure, People skill sets and Manufacturing System Technology. However, the model in its original form can be time and resource consuming, and also lacks improvement strategies that utilise the results of the assessment.

The Supply Chain Readiness Level (SCRL) provides a method for assessing the ability of the supply chain to operate and achieve specific operational performance objectives. Readiness levels are associated with characteristics within fifteen categories that discretely provide an improvement roadmap for supply chain design and operation. However, like TRL and MRL, SCRL does not provide a methodology for a particular organisation to assess its readiness to adopt a particular technology.

In general, each study focuses on assessing a single technology, such as an enterprise resource planning (ERP) system or manufacturing execution system (MES), without considering other aspects of the organisation that may affect the impact of the respective technology adoption, as well as the use of information and communication technologies (ICT) as the primary basis for making those improvements.

 

A method for assessing a factory’s readiness to become a Smart Factory: SMSRL

This method divides the assessment into four maturity components including IT, information connectivity, organisation, performance management programme maturity and combines these assessments into a single smart manufacturing system readiness level index >> SMSRL.

The method can be used to compare individual factories or as a criterion for selecting a supplier among several factories. Furthermore, this method has shown in different analyses a positive correlation with operational performance.

The evaluation objective of SMSRL is similar to that of MESA-MTS but with a scope that goes beyond MOM technologies. Technically, the SMSRL index provides an indication of the current status with respect to a reference model. Both SMSRL and MESA-MTS allow the reference model to evolve as new technologies emerge and become available.

In our next communications we will continue the description of this SMSRL method to find out what it consists of.