Human error unplanned downtime inferring and job-operator matching based on inverse optimal value method

Zhang, Lili; Li, Zhengfeng; Yang, Yang; Cui, Menghan

doi:10.1016/j.cie.2020.106840

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…The Kuhn-Tucker optimality condition was used to transform the non-linear bi-level optimization problem into a regular non-linear programming problem for the low-level problem. The complementarity and slackness conditions of the low-level problem were applied to the high-level problem through a penalty function [19]. The inverse model was then transferred as the model ( 13) and directly solved using the MATLAB solver.…”

Section: Penalty Algorithmmentioning

confidence: 99%

“…The methods for solving inverse optimal value problems can be categorized as accurate algorithms and intelligent algorithms. From the perspective of accurate algorithms, there are polynomial algorithms [18], alternating iteration [19], and gradient search [20], among others. From the perspective of intelligent algorithms, Li proposed an evolutionary algorithm for multi-criteria inverse optimal value problems based on the dynamic weighted aggregation method [18].…”

Section: Introductionmentioning

confidence: 99%

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Inverse Optimization Method for Safety Resource Allocation and Inferring Cost Coefficient Based on a Benchmark

Zhang

Guo

2023

Mathematics

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Due to cost-push inflation, the trade-off between safety costs and risk prevention (safety) has become difficult worldwide. Most companies experience the difficulty of safety cost overruns and allocate safety resource inefficiently. In this paper, a forward model maximizing safety input is formulated. Because there is a wide range of variation of safety resource cost coefficient parameters, it is hard to determine safety resource cost coefficients in the forward model, to make the decisions on which types of safety resources are allocated to which potentially risky locations with what prices, and to ensure total input is as close to the benchmark as possible. Taking allocation, themes, resources, and cost coefficient parameters as new decision variables, the inverse optimization model is formulated based on a bi-level model. With consideration of quaternion decision, bi-level programming, and NP-hard problem, based on the comparison of exact penalty algorithm and an improved PSO algorithm, in which the inertia weight is adaptively changing with the number of iterations, the PSO is suitable for solving the specific inverse model. Numerical experiments demonstrated the effectiveness of the PSO algorithm, proving that it can allocate the right amount and types of safety resources with the right prices at the right places.

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Section: Penalty Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inverse Optimization Method for Safety Resource Allocation and Inferring Cost Coefficient Based on a Benchmark

Zhang

Guo

2023

Mathematics

Self Cite

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“…A sorting line is a technology for manually, semi-manually, or fully splitting shipments. Each type of technology has clear advantages, and each has a different set of financial needs, whether for initial outlays or ongoing operation [17][18]. Modeling and simulation are regarded as experimental and applied methodologies that enable the development of studies on the following subjects: describing the behavior of the system, creating theories and hypotheses to account for the observed behavior, and using a model to analyze subsequent behavior or the effects produced by changes in the system or by its operating procedures.…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement in Service Manufacturing Lines Supported by Information Sharing and Task Assignment Flexibility

Arteaga,

Calvo

2023

Advances in Science and Technology

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The combination of automation and workforce must be properly analyzed during design to ensure coupled control coordination. Otherwise, we find challenges that end increasing the losses or the cost. The flexibility of the process is based on the combinations in which the parts of the system can interact and work collaboratively. This seemingly heuristic approach in current sorting lines is the basis for time efficiency. This research presents a systematic analysis of a three lines conveyor for manual sorting with a shared and segregated information system. This system uses a central information display which provides the workers the direction and location guidance for the operation. The layout is based on a real packing and sorting line from commercial transportation. This is an upgrade to the hand scanner system where the worker could advance the allocation information instead of retaining in mind the current mapping to asset the task quickly, thus this causes irregular utilization between workers, being this an uncontrollable variable. The results show how the communication between systems and the access to information in real time improve the performance of the worker and, in turn, the process time is reduced. In addition to the increase of production output, the overall quality performance improves as the learning curve of operator evolves without retention in task repetition.

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Using Tacit Expert Knowledge to Support Shop-floor Operators Through a Knowledge-based Assistance System

Hoerner¹,

Schamberger²,

Bodendorf³

2022

Comput Supported Coop Work

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The increasing complexity of industrial production systems is challenging employees on the shop-floor in their daily work. Specific knowledge about manufacturing processes is often not available in explicit form but mainly as tacit knowledge of experienced shop-floor workers. A systematic approach to knowledge externalization and reuse is required to make this operational knowledge available. This paper proposes a method to systematically capture and structure expert knowledge while incorporating knowledge management and social research methods. The proposed method's application and evaluation occur in a continuous manufacturing scenario, externalizing tacit knowledge about coping with manufacturing anomalies. A digital assistance system is designed and prototypically implemented to manage and reuse the externalized knowledge. The early involvement of shop-floor workers in the development phase of the prototype ensures usability and user acceptance of the assistance system. The assistance system is developed as a collaboration supporting artifact in the shop-floor's common information space. To observe the resulting productivity performance improvements in the manufacturing scenario, a KPI-based evaluation of the assistance system is presented. Finally, a discussion about the major contributions of this paper, namely the development of an approach for knowledge externalization and a human-centered design of an assistance system, takes place. To assess the novelty of these approaches, they are contrasted with the state of the art identified in the literature before a final summary of the results is presented.

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Human error unplanned downtime inferring and job-operator matching based on inverse optimal value method

Cited by 5 publications

References 21 publications

Inverse Optimization Method for Safety Resource Allocation and Inferring Cost Coefficient Based on a Benchmark

Inverse Optimization Method for Safety Resource Allocation and Inferring Cost Coefficient Based on a Benchmark

Performance Improvement in Service Manufacturing Lines Supported by Information Sharing and Task Assignment Flexibility

Using Tacit Expert Knowledge to Support Shop-floor Operators Through a Knowledge-based Assistance System

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