Minimization of metabolic energy expenditure in collaborative order picking

Mahmut Tutam

Article Details

Minimization of metabolic energy expenditure in collaborative order picking

Authors:

Mahmut Tutam

Publisher:

Kütahya Dumlupinar University

Main Topics:

Industrial Engineering | Ergonomi and Human Factors Management | Packaging | Storage and Transportation (Excl. Food and Agricultural Products)

Journal:

Journal of Scientific Reports-A Issue 055, pp.132-145

Document Type:

Article

Publication Date:

12/2023

Document Language:

English

Document ID (Org No.):

2001299696

pISSN:

2687-6167

Keywords:

Abstract:

 Order picking is one of the most repetitive, labor-intensive, and physically demanding operations in warehouses. Picking hundreds of orders daily requires high metabolic energy expenditure and is characterized by poor ergonomics posing high risks for musculoskeletal disorders. In traditional order picking, the order picker walks around racks in a warehouse throughout the day. Alternatively, it is aimed at minimizing inefficient time and musculoskeletal strains with ride-on order picking by allowing the order picker to stand on an operators platform of an order-picking truck and ride the truck between stop locations. However, the order picker has to step down from the platform at each stop location and step up onto the platform before riding the truck to the next stop location. Therefore, riding the truck with frequent stops leads to more metabolic energy expenditure and musculoskeletal disorders than walking, although it is faster. Benefiting advantages of both traditional and ride-on order picking, a relatively new order picking truck collaborative order picking truck is deployed in warehouses to reduce inefficient walking time and ergonomic riding disorders. In collaborative order picking, the order picker can walk from a stop location directly to the next pick location while the truck moves to the next stop location autonomously or ride the truck to the next stop location in case of having a large distance between stop locations. This paper develops an optimization model to minimize total metabolic energy expenditure in collaborative order picking by finding the shortest route and the best collaboration decision walk or ride. Based on the Monte Carlo simulation, the metabolic energy expenditure with collaborative order picking is analyzed. Our results indicate metabolic energy savings with collaborative order picking up to 200 and 83 compared to traditional and ride-on order picking, respectively.

 Order picking is one of the most repetitive, labor-intensive, and physically demanding operations in warehouses. Picking hundreds of orders daily requires high metabolic energy expenditure and is characterized by poor ergonomics posing high risks for musculoskeletal disorders. In traditional order picking, the order picker walks around racks in a warehouse throughout the day. Alternatively, it is aimed at minimizing inefficient time and musculoskeletal strains with ride-on order picking by allowing the order picker to stand on an operators platform of an order-picking truck and ride the truck between stop locations. However, the order picker has to step down from the platform at each stop location and step up onto the platform before riding the truck to the next stop location. Therefore, riding the truck with frequent stops leads to more metabolic energy expenditure and musculoskeletal disorders than walking, although it is faster. Benefiting advantages of both traditional and ride-on order picking, a relatively new order picking truck collaborative order picking truck is deployed in warehouses to reduce inefficient walking time and ergonomic riding disorders. In collaborative order picking, the order picker can walk from a stop location directly to the next pick location while the truck moves to the next stop location autonomously or ride the truck to the next stop location in case of having a large distance between stop locations. This paper develops an optimization model to minimize total metabolic energy expenditure in collaborative order picking by finding the shortest route and the best collaboration decision walk or ride. Based on the Monte Carlo simulation, the metabolic energy expenditure with collaborative order picking is analyzed. Our results indicate metabolic energy savings with collaborative order picking up to 200 and 83 compared to traditional and ride-on order picking, respectively.

 Order picking is one of the most repetitive, labor-intensive, and physically demanding operations in warehouses. Picking hundreds of orders daily requires high metabolic energy expenditure and is characterized by poor ergonomics posing high risks for musculoskeletal disorders. In traditional order picking, the order picker walks around racks in a warehouse throughout the day. Alternatively, it is aimed at minimizing inefficient time and musculoskeletal strains with ride-on order picking by allowing the order picker to stand on an operators platform of an order-picking truck and ride the truck between stop locations. However, the order picker has to step down from the platform at each stop location and step up onto the platform before riding the truck to the next stop location. Therefore, riding the truck with frequent stops leads to more metabolic energy expenditure and musculoskeletal disorders than walking, although it is faster. Benefiting advantages of both traditional and ride-on order picking, a relatively new order picking truck collaborative order picking truck is deployed in warehouses to reduce inefficient walking time and ergonomic riding disorders. In collaborative order picking, the order picker can walk from a stop location directly to the next pick location while the truck moves to the next stop location autonomously or ride the truck to the next stop location in case of having a large distance between stop locations. This paper develops an optimization model to minimize total metabolic energy expenditure in collaborative order picking by finding the shortest route and the best collaboration decision walk or ride. Based on the Monte Carlo simulation, the metabolic energy expenditure with collaborative order picking is analyzed. Our results indicate metabolic energy savings with collaborative order picking up to 200 and 83 compared to traditional and ride-on order picking, respectively.

 Order picking is one of the most repetitive, labor-intensive, and physically demanding operations in warehouses. Picking hundreds of orders daily requires high metabolic energy expenditure and is characterized by poor ergonomics posing high risks for musculoskeletal disorders. In traditional order picking, the order picker walks around racks in a warehouse throughout the day. Alternatively, it is aimed at minimizing inefficient time and musculoskeletal strains with ride-on order picking by allowing the order picker to stand on an operators platform of an order-picking truck and ride the truck between stop locations. However, the order picker has to step down from the platform at each stop location and step up onto the platform before riding the truck to the next stop location. Therefore, riding the truck with frequent stops leads to more metabolic energy expenditure and musculoskeletal disorders than walking, although it is faster. Benefiting advantages of both traditional and ride-on order picking, a relatively new order picking truck collaborative order picking truck is deployed in warehouses to reduce inefficient walking time and ergonomic riding disorders. In collaborative order picking, the order picker can walk from a stop location directly to the next pick location while the truck moves to the next stop location autonomously or ride the truck to the next stop location in case of having a large distance between stop locations. This paper develops an optimization model to minimize total metabolic energy expenditure in collaborative order picking by finding the shortest route and the best collaboration decision walk or ride. Based on the Monte Carlo simulation, the metabolic energy expenditure with collaborative order picking is analyzed. Our results indicate metabolic energy savings with collaborative order picking up to 200 and 83 compared to traditional and ride-on order picking, respectively.

Article Details

Minimization of metabolic energy expenditure in collaborative order picking

Authors:

Mahmut Tutam

Publisher:

Kütahya Dumlupinar University

Main Topics:

Industrial Engineering | Ergonomi and Human Factors Management | Packaging | Storage and Transportation (Excl. Food and Agricultural Products)

Journal:

Journal of Scientific Reports-A Issue 055, pp.132-145

Document Type:

Article

Publication Date:

12/2023

Document Language:

English

Document ID (Org No.):

2001299696

pISSN:

2687-6167

Order picking

Collaborative Robot

Optimal Routing

Ergonomics

Metabolic Energy Expenditure

Issues

Article Details

Minimization of metabolic energy expenditure in collaborative order picking

Authors: Mahmut Tutam

Publisher: Kütahya Dumlupinar University

Main Topics: Industrial Engineering | Ergonomi and Human Factors Management | Packaging | Storage and Transportation (Excl. Food and Agricultural Products)

Journal: Journal of Scientific Reports-A Issue 055, pp.132-145

Document Type: Article

Publication Date: 12/2023

Document Language: English

Document ID (Org No.): 2001299696

pISSN: 2687-6167

Order picking

Collaborative Robot

Optimal Routing

Ergonomics

Metabolic Energy Expenditure

Issues

Authors:

Mahmut Tutam

Publisher:

Kütahya Dumlupinar University

Main Topics:

Industrial Engineering | Ergonomi and Human Factors Management | Packaging | Storage and Transportation (Excl. Food and Agricultural Products)

Journal:

Journal of Scientific Reports-A Issue 055, pp.132-145

Document Type:

Article

Publication Date:

12/2023

Document Language:

English

Document ID (Org No.):

2001299696

pISSN:

2687-6167