Aligning Order Picking Methods, Incentive Systems, and Regulatory Focus to Increase Performance

Vries, Jelle de; Koster, René de; Stam, Daan

doi:10.2139/ssrn.2630169

Cited by 9 publications

(18 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Student samples have become common in behavioral OSCM research (e.g., De Vries et al. 2016, Eckerd et al. 2013), as many of the theoretical domains are also applicable to student samples (Thomas 2011).…”

Section: Methodsmentioning

confidence: 99%

“…In addition, we drew a sample of full-time students. Student samples have become common in behavioral OSCM research (e.g., De Vries et al 2016, Eckerd et al 2013, as many of the theoretical domains are also applicable to student samples (Thomas 2011). Our research investigates inherent psychological needs, a concept that is universalistic (Stevens 2011).…”

Section: Team Processmentioning

confidence: 99%

See 1 more Smart Citation

Rising to the Top: Motivational Forces Influencing Status Conflict in Sourcing Teams

Franke

Eckerd

Foerstl

2022

Production and Operations Management

View full text Add to dashboard Cite

O rganizations often use cross-functional teams to make key Operations and Supply Chain Management decisions, but doing so risks instigating conflict between team members since cross-functional delegates often have opposing functional goals. While previous work has explored the effect of functional goals (i.e., external motivation) in crossfunctional team performance, we extend research in this area to incorporate individual team members' psychological needs (i.e., internal motivation). Specifically, we consider how the interplay of these motivational mechanisms can lead to status conflict within the team, and the ensuing implications on team performance. We conduct an experiment of 136 ad hoc team-based sourcing decisions, complemented with a sequential qualitative study involving interviews with 37 practicing managers. The results show that functional goal misalignment leads to status conflict, as expected. Yet, counterintuitively, this effect can be mitigated with the team's composition in individual psychological needs for dominance, specifically with heterogeneously dominant individuals. Our study contributes to the behavioral operations management literature on sourcing teams and to the team motivation literature. We provide guidance on how managers can compose cross-functional teams to improve decision outcomes considering the interplay of external and internal motivational mechanisms.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Team Processmentioning

confidence: 99%

Rising to the Top: Motivational Forces Influencing Status Conflict in Sourcing Teams

Franke

Eckerd

Foerstl

2022

Production and Operations Management

View full text Add to dashboard Cite

show abstract

“…Glock et al (2019) investigated the spinal load on order pickers and the consequent risks of injury in order picking. In a different vein, De Vries et al (2016) studied the impact of an exogenous incentive mechanism on human picking performance, and showed that combining a given order picking method with either a cooperation-based or a competition-based incentive system could improve productivity.…”

Section: Literature Reviewmentioning

confidence: 99%

Robot Scheduling for Mobile‐Rack Warehouses: Human–Robot Coordinated Order Picking Systems

Wang

Sheu

Teo

et al. 2022

Production and Operations Management

View full text Add to dashboard Cite

Intelligent part‐to‐picker systems are spreading across a broad range of industries as preferred solutions for agile order fulfillment, wherein mobile racks are carried by robots and moved to stations where human pickers can pick items from them. Such systems raise the challenge of designing good work schedules for human pickers; they also give rise to a new class of operational scheduling problems in human–robot coordinated order picking systems. This work studies the problem of finding a suitable robot schedule that takes into account the schedule‐induced fluctuation of the working states of human pickers. A proposed model enables mobile racks with various workloads to be assigned to pickers, and schedule the racks that are assigned to every picker to minimize the expected total picking time. The problem is formulated as a stochastic dynamic program model. An approximate dynamic programming (ADP)‐based branch‐and‐price solution approach is used to solve this problem. The developed model is calibrated using data that were collected from a dominant e‐commerce company in China. Pickers' working state transitions are modeled based on data obtained from this warehouse. Counter‐factual studies demonstrate that the proposed approach can solve a moderately sized problem with 50 racks in under 2 minutes. More importantly, the approach yields high‐quality solutions with picking times that are 10% shorter than the solutions that did not consider schedule‐induced fluctuations of pickers' working states.

show abstract

“…Research questions may focus on the types of human jobs that should remain in order to maximize joint performance during tasks in cooperation with machines, how to minimize discomfort of order pickers (see also Larco et al (2016)), or more behavioral questions such as how to incentivize people, or which personalities people should have to maximize performance of joint work. A recent study shows that the organization of the pick process, work incentives, and personality of the pickers strongly interacts, and can have a major effect on picking performance (De Vries et al 2016).…”

Section: Directions For Future Researchmentioning

confidence: 99%

Robotized Warehouse Systems: Developments and Research Opportunities

2017

Self Cite

View full text Add to dashboard Cite

Robotized handling systems are increasingly applied in distribution centers. They require little space, provide flexibility in managing varying demand requirements, and are able to work 24/7. This makes them particularly fit for e-commerce operations. This paper reviews new categories of robotized handling systems, such as the shuttle-based storage and retrieval systems, shuttle-based compact storage systems, and robotic mobile fulfillment systems. For each system, we categorize the literature in three groups: system analysis, design optimization, and operations planning and control. Our focus is to identify the research issue and OR modeling methodology adopted to analyze the problem. We find that many new robotic systems and applications have hardly been studied in academic literature, despite their increasing use in practice. Due to unique system features (such as autonomous control, networked and dynamic operation), new models and methods are needed to address the design and operational control challenges for such systems, in particular, for the integration of subsystems. Integrated robotized warehouse systems will form the next category of warehouses. All vital warehouse design, planning and control logic such as methods to design layout, storage and order picking system selection, storage slotting, order batching, picker routing, and picker to order assignment will have to be revisited for new robotized warehouses. 1 Introduction Warehouse operations tend to be labor intensive and require large space for facilities. Large buildings are needed to store the item assortment in racks, to move stock, to unload and load 1 trailers and containers, to inspect picked orders, and to allow trucks to maneuver in the yard and to dock them. With the advent of e-commerce, companies store millions of unique items and handle large and variable daily order volumes. On the other hand, the most laborious and expensive process, order picking, is repetitive, often suffers from poor ergonomics, and requires high-quality labor willing to work in shifts, which is often difficult to get. It is therefore not surprising that warehousing systems and processes are key candidates for automation. In addition, the land available for warehouses (which should preferably be close to the demand points) has become scarce, and many warehouses have to operate 24/7. Together, this has given warehouse automation a big boost. Warehouse automation dates back to the 1960s, when the first high-bay (20-40 m high was quite standard) unit-load warehouses were established in Germany with aisle-captive cranes driving on rails, constructed as a silo building (Industrieforum 2004). These so-called AS/R (automated storage and retrieval) systems were able to store bulk stock on unit loads (pallets, or totes: miniload system). They could also work in conjunction with manual pick stations as a parts-to-picker system, where the retrieved unit load was restored after picking units from it. Since then, AS/R systems have become very popular in practice, and research ...

show abstract

Aligning Order Picking Methods, Incentive Systems, and Regulatory Focus to Increase Performance

Cited by 9 publications

References 72 publications

Rising to the Top: Motivational Forces Influencing Status Conflict in Sourcing Teams

Rising to the Top: Motivational Forces Influencing Status Conflict in Sourcing Teams

Robot Scheduling for Mobile‐Rack Warehouses: Human–Robot Coordinated Order Picking Systems

Robotized Warehouse Systems: Developments and Research Opportunities

Contact Info

Product

Resources

About