13 Apr
2018

Measuring Lean in the Food Manufacturing Industry

Learn how the food industry can implement lean manufacturing methods to maximize efficiency.

Lean Manufacturing
Mesurer la production allégée dans l'industrie alimentaire

Since the 1980’s the food industry has faced increased competition from stores that stock their own labeled brands. Many times these products are created at a third party manufacturing site that specializes in that particular variety of food and creates it on a smaller scale, yet less expensive due to the lean methods that these subcontractor manufacturing facilities utilize.

The Lean Manufacturing method can be applied to the food industry in an effort to eliminate waste throughout the manufacturing process and maximize efficiency. Doing so would create greater profits and a higher level of satisfaction for the end customer. A range of lean methods such as, Value Stream Mapping (VSM) and the Just-In-Time (JIT) can be used in the food manufacturing industry to help improve production rates and efficiency. Due to the high turnover rates that are associated with raw materials and the set date that raw materials must be used by, they are some of the costliest and wasted items in the food manufacturing industry.

Worximity Food Manufacturing Industry Lean

The solution that lean manufacturing in the food industry helped to create was that food manufacturing facilities needed a holding tank for the product so that could be stored for a certain amount of time until orders needed to be fulfilled. Once an order comes in, the product can be withdrawn from the holding tank and packaged, which usually is a relatively quick process. This method of production is called the Just-In-Time (JIT) method of production, it creates a pull system where once the end customer orders a product the manufacturer immediately produces the end product so that they hold less inventory and do not overproduce.  

Worximity Lean Manufacturing

By using a Value Stream Map (VSM) in the food manufacturing industry it is easy to identify and eliminate certain types of waste associated with production that leads to lower levels of productivity and higher costs. In regards to the manufacturing process and how holding tanks reduced the amount of overproduction created, which is a form of waste or Muda as defined by the Toyota Production System (TPS), the Value Stream Map (VSM) was able to identify the lead time that it would take to package a product and proved that it was worthwhile to have a storage tank to sustain the finished food product for a longer period of time until it could be packed. By analyzing the Value Stream Map (VSM), food manufacturers are able to identify what steps during the manufacturing process were creating the most was non-value adding waste and could then work towards resolving those issues in an effort to decrease waste and increase efficiency.   

Download our Free Lean Manufacturing and Industry 4.0. ebook now!

Want to learn more?
Download the ebook
Related blog articles

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
8
Oct 2019

Types de gaspillages dans le lean manufacturing - le gaspillage dû au sur-traitement

French
27
Mars 2020

Ce que vous devez savoir sur le monitoring de la production en 2020

French
17
septembre 2019

Types de gaspillages dans le lean manufacturing - le gaspillage dû à l'attente

French

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
28
Juin 2023

Investing in Industry 4.0: It’s now more important than ever for food & beverage manufacturers of all sizes

Faced with challenges that include labor and raw material shortages, tightened regulations ,and skyrocketing costs, companies like you are struggling to produce and price products to meet the demands of increasingly cost-conscious consumers and anxious stakeholders alike.

English
27
Juin 2023

Au-delà des chiffres : maximiser le retour sur investissement dans le secteur manufacturier grâce à l'analyse de données

L'intelligence des données provient de chiffres bruts. Ces informations doivent être analysées et traduites en actions ayant un impact sur l'entreprise. Mais avec des données qui s'accumulent plus vite qu'elles ne peuvent être transformées en analyses de données manufacturières, les entreprises ratent des opportunités.

French
27
Juin 2023

Going Beyond the Numbers: Maximizing ROI with Data Analytics in Manufacturing

Technology has given rise to data – reams of it. In fact, in today’s digital environment there is more data available to manufacturers than in all of history combined. Yet for many manufacturers big data is a big problem.

English