ILP – ANNOTATED BIBLIOGRAPHY 2
Annotated Bibliography
Azevedo, J., Sá, J. C., Ferreira, L. P., Santos, G., Cruz, F. M., Jimenez, G., & Silva, F. J. G.
(2019). Improvement of production line in the automotive industry through lean
philosophy. Procedia Manufacturing, 41, 1023–1030.
https://doi.org/10.1016/j.promfg.2019.10.029
This article investigates the application of lean production philosophy to enhance the
production line in the automotive industry. The study attempts to learn how lean
production philosophy can improve efficiency, reduce waste, and optimize processes
within automotive manufacturing. Through a comprehensive analysis, the researchers
aim to identify key strategies and techniques contributing to implementing lean principles
in this context. The study's key findings highlight the effectiveness of lean philosophy in
streamlining operations, improving productivity, and enhancing overall performance on
the production line. Specifically, the authors discuss the importance of waste reduction,
continuous improvement, and employee involvement as critical factors for achieving
operational excellence. In the context of operations management, this article is relevant as
it provides valuable insights into how lean philosophy can be applied to optimize
manufacturing processes and drive continuous improvement initiatives. By adopting the
lean principles outlined in the study, operations managers in the automotive industry can
effectively address challenges, improve resource utilization, and ultimately enhance
competitiveness in the market. This article is anticipated to be used in the integration
section of chapter concepts from the textbook under the lean manufacturing section.
Babai, M. Z., Boylan, J. E., & Rostami-Tabar, B. (2021). Demand forecasting in supply chains:
A review of aggregation and hierarchical approaches. International Journal of
ILP – ANNOTATED BIBLIOGRAPHY 3
Production Research, 60(1), 324–348. https://doi.org/10.1080/00207543.2021.2005268
This article reviews research related to demand forecasting within supply chains. The
study aims to evaluate the effectiveness of methods in improving the accuracy of demand
forecasts, which serve as a fundamental basis for decision-making in supply chain
management. The study highlights the importance of aggregation methods in
consolidating demand information from diverse sources to develop accurate forecasts at
different aggregation levels. In the context of operations management, this article is
relevant as it addresses the critical role of demand forecasting in optimizing inventory
management, production planning, and resource allocation strategies within supply
chains. By understanding and implementing the study's effective aggregation and
hierarchical forecasting approaches, operations managers can enhance supply chain
operations' responsiveness, efficiency, and overall performance. This article is anticipated
to be used in the integration section of chapter concepts from the textbook under the
demand planning section.
Brau, R., Aloysius, J., & Siemsen, E. (2023). Demand planning for the digital supply chain: How
to integrate human judgment and predictive analytics. Journal of Operations
Management, 69(6), 965–982. https://doi.org/10.1002/joom.1257
This article explores the integration of human judgment and predictive analytics in
demand planning for the digital supply chain. The study investigates how organizations
can effectively combine human expertise with advanced statistical algorithms to enhance
demand forecasting accuracy and decision-making processes in digital supply chains. The
study highlights the importance of leveraging human judgment to complement predictive
analytics algorithms to improve demand forecasts. The study emphasizes that human
ILP – ANNOTATED BIBLIOGRAPHY 4
insights with statistical models can enable organizations to effectively refine forecasting
approaches and adapt to changing market conditions. In the context of operations
management, this article is relevant as it addresses the evolving landscape of supply chain
management in the digital era. By understanding and implementing strategies to integrate
human judgment and predictive analytics in demand planning, operations managers can
optimize inventory levels, production schedules, and resource allocation to meet
customer demand efficiently while minimizing costs and maximizing profitability. This
article is anticipated to be used in the integration section of chapter concepts from the
textbook under the demand planning section.
Gallarza, M. G., & Sánchez-Fernández, R. (2023). Defining and measuring customer value:
Some reflections and new perspectives. Journal of Creating Value, 9(1), 27–45.
https://doi.org/10.1177/23949643231163091
This article explores the definition and measurement of customer value. The study aims
to provide a comprehensive understanding of customer value by blending existing
knowledge and presenting new insights. Through a thorough review of literature and
scholarly contributions, the authors aim to shed light on the multifaceted nature of
customer value and its implications for businesses. The article highlights the complex
nature of customer value, emphasizing the need for organizations to continuously adapt
their strategies and offerings to meet evolving customer expectations and preferences. In
the context of operations management, this study is relevant as it stresses the importance
of aligning business processes and activities with customer value creation. By
understanding the various aspects of customer value and incorporating them into
operational decision-making, businesses can enhance their competitiveness, improve
ILP – ANNOTATED BIBLIOGRAPHY 5
customer satisfaction, and drive sustainable growth. This article is anticipated to be used
in the integration section of chapter concepts from the textbook under the customer value
section.
Hamiche, K., Abouaïssa, H., Goncalves, G., & Hsu, T. (2018). A robust and easy approach for
demand forecasting in supply chains. IFAC-PapersOnLine, 51(11), 1732–1737.
https://doi.org/10.1016/j.ifacol.2018.08.206
The article focuses on demand forecasting in supply chains that is both robust and easy to
implement. The study aims to provide supply chain managers with a practical method for
forecasting demand, which is crucial for decision-making processes within supply chain
management. The authors highlight the importance of this method in enhancing inventory
management, production planning, and overall supply chain efficiency. From an
operations management perspective, this article is relevant as it addresses a fundamental
aspect of supply chain operations. Accurate demand forecasting enables operations
managers to optimize inventory levels, plan production schedules effectively, and
allocate resources efficiently to meet customer demand while minimizing costs and
maximizing profitability. Additionally, operations managers can enhance the
responsiveness and agility of supply chains, thereby improving overall operational
performance and customer satisfaction. This article is anticipated to be used in the
integration section of chapter concepts from the textbook under the demand planning
section.
Horváthová, J., Mokrišová, M., & Vrábliková, M. (2021). Benchmarking: A way of finding risk
factors in business performance. Journal of Risk and Financial Management, 14(5).
https://doi.org/10.3390/jrfm14050221
ILP – ANNOTATED BIBLIOGRAPHY 6
This article looks into the utilization of benchmarking as a method to identify risk factors
in business performance. The study aims to emphasize the role of Data Envelopment
Analysis (DEA) as a benchmarking tool and how it can be used to uncover potential
risks. The findings suggest that DEA helps identify areas of underperformance within
organizations, allowing for targeted improvements. Analyzing data and comparing it with
industry benchmarks reveals insights into operational inefficiencies and areas prone to
risk. In the context of operations management, this research underscores the importance
of benchmarking techniques like DEA in evaluating and enhancing business
performance. By identifying risk factors through benchmarking, organizations can
proactively address operational weaknesses, optimize processes, and improve overall
efficiency, contributing to better decision-making and long-term success in operations
management. This article is anticipated to be used in the integration section of chapter
concepts from the textbook under the benchmarking section.
Madanhire, I., & Mbohwa, C. (2016). Enterprise resource planning (ERP) in improving
operational efficiency: Case study. Procedia CIRP, 40, 225–229.
https://doi.org/10.1016/j.procir.2016.01.108
This article conducted a case study to explore the role of Enterprise Resource Planning
(ERP) systems in enhancing operational efficiency. The purpose of the study is to
investigate how the implementation of ERP systems contributes to improving operational
performance within organizations. The authors’ research found several key findings.
They discovered that ERP implementation leads to streamlined business processes and
improved department communication. Secondly, ERP systems facilitate better resource
utilization and inventory management, reducing lead times and enhancing production
ILP – ANNOTATED BIBLIOGRAPHY 7
scheduling. Additionally, the study found that ERP adoption enables real-time data
access and analytics, which aid in decision-making and strategic planning. In the context
of operations management, this article underscores the importance of leveraging ERP
systems to optimize operational processes, manage resources effectively, and enhance
overall efficiency within manufacturing and service-oriented organizations. It also
emphasizes the role of technology in driving operational improvements and the need for
alignment between technology and organizational objectives in operations management.
This article is anticipated to be used in the integration section of chapter concepts from
the textbook under the enterprise resource planning section.
Nagyova, A., & Sutoova, A. (2014). Case study of balanced scorecard use in automotive
industry. Proceedings of the Scientific Conference Quality and Leading Innovation.
https://doi.org/10.12776/qali.v1.4
This article presents a study focusing on implementing the balanced scorecard (BSC)
within the automotive industry. The study aims to examine how the BSC is utilized in the
automotive industry to ensure alignment of objectives and improve performance across
various aspects. Key findings from the case study highlight the successful application of
the BSC in the automotive industry, particularly in areas such as customer objectives,
internal business processes, learning and growth, and financial performance. The study
underscores the importance of aligning strategic goals with operational activities and
measuring performance using balanced indicators. Moreover, it emphasizes the role of
the BSC in providing a comprehensive view of organizational performance and
facilitating strategic decision-making. In the context of operations management, this
article is relevant as it demonstrates how the BSC framework can be leveraged to
ILP – ANNOTATED BIBLIOGRAPHY 8
enhance efficiency, quality, and innovation within automotive companies. By adopting
the BSC approach, operations managers can effectively monitor key performance
metrics, identify areas for improvement, and drive continuous improvement initiatives to
optimize overall operational performance in the automotive sector. This article is
anticipated to be used in the integration section of chapter concepts from the textbook
under the balanced scorecard section.
Nawaz, N., & Channakeshavalu, K. (2013). The impact of Enterprise Resource Planning (ERP)
systems implementation on business performance. SSRN Electronic Journal, 2(4), 30–47.
https://doi.org/10.2139/ssrn.3525298
This article investigates the impact of implementing Enterprise Resource Planning (ERP)
systems on business performance. The purpose of the study is to assess how the adoption
of ERP systems affects various aspects of business performance. The study's key findings
reveal that implementing ERP systems leads to significant improvements in efficiency,
profitability, and overall business performance. The study also highlights the role of ERP
systems in achieving competitive advantage across different types and sizes of
organizations. In the context of operations management, this article is relevant as it
underscores the importance of technology adoption in improving operational efficiency
and driving overall business success. It emphasizes the need for operations managers to
consider ERP systems as a strategic tool for streamlining processes, optimizing resource
utilization, and ultimately enhancing business performance. This article is anticipated to
be used in the integration section of chapter concepts from the textbook under the
enterprise resource planning section.
ILP – ANNOTATED BIBLIOGRAPHY 9
Passos, C. A. S., & Haddad, R. B. B. (2013). Benchmarking: A tool for the improvement of
production management. IFAC Proceedings Volumes, 46(24), 577–581.
https://doi.org/10.3182/20130911-3-br-3021.00003
This article focuses on using benchmarking as a tool for enhancing production
management. The study aims to investigate how benchmarking can be employed
effectively to improve production management practices in industrial companies.
Through empirical analysis and case studies, the authors explore the application of
benchmarking in identifying best practices, comparing performance metrics, and
implementing improvements in production processes. Key findings suggest that
benchmarking facilitates the identification of areas for improvement by comparing an
organization's performance with industry standards or best practices. Additionally,
benchmarking helps set realistic performance targets, foster a culture of continuous
improvement, and enhance overall operational efficiency. In the context of operations
management, this study underscores the importance of benchmarking as a strategic tool
for evaluating and improving production processes. By benchmarking against industry
leaders or best practices, organizations can identify inefficiencies, streamline operations,
optimize resource utilization, and ultimately enhance their competitiveness in the market.
This article is anticipated to be used in the integration section of chapter concepts from
the textbook under the benchmarking section.
Pierce, E. (2022). A balanced scorecard for maximizing data performance. Frontiers in Big Data,
5. https://doi.org/10.3389/fdata.2022.821103
This article covers the balanced scorecard framework. The study aims to address the
growing importance of data in contemporary business operations and provide a structured
ILP – ANNOTATED BIBLIOGRAPHY 10
approach to managing and maximizing data-related activities. Key findings from the
article suggest that by adopting a balanced scorecard approach, organizations can design
a set of meaningful and coordinated metrics to effectively govern data, enhance employee
data literacy, measure data efforts, and ensure alignment with overall business objectives.
In the context of operations management, this article offers a method for evaluating and
improving data-related processes and outcomes within organizations. By implementing a
balanced scorecard for data performance, operations managers can gain insights into the
effectiveness of data governance practices, identify areas for improvement in data
management processes, and align data initiatives with strategic goals. This enables
organizations to use the full potential of their data assets to drive operational excellence
and achieve competitive advantage in the digital age. This article is anticipated to be used
in the integration section of chapter concepts from the textbook under the balanced
scorecard section.
Punnakitikashem, P., Laosirihongthong, T., Adebanjo, D., & McLean, M. W. (2010). A study of
quality management practices in TQM and non‐tqm firms. International Journal of
Quality & Reliability Management, 27(9), 1021–1035.
https://doi.org/10.1108/02656711011084819
This article investigates the quality management practices in both Total Quality
Management (TQM) and non-TQM firms. The study aims to compare and analyze the
implementation of quality management practices between TQM and non-TQM firms to
identify any differences or similarities. Through empirical research, the authors examine
various aspects of quality management, including leadership commitment, employee
involvement, process management, and customer focus, among others, in both firms. The
ILP – ANNOTATED BIBLIOGRAPHY 11
key findings reveal that TQM firms exhibit higher levels of quality management practices
across the board than non-TQM firms. Specifically, TQM firms demonstrate more
substantial leadership commitment, employee involvement, effective process
management, and a higher emphasis on customer focus. This study highlights the
significance of TQM in fostering a culture of quality and continuous improvement within
organizations. In the context of operations management, the findings underscore the
importance of implementing TQM principles to enhance quality, productivity, and
customer satisfaction. By adopting TQM practices, organizations can streamline
operations, minimize defects, improve efficiency, and ultimately deliver higher-quality
products and services to customers, thus gaining a competitive advantage in the market.
This article is anticipated to be used in the integration section of chapter concepts from
the textbook under the TQM section.
Reitsma, E., Hilletofth, P., & Johansson, E. (2021). Supply chain design during product
development: A systematic literature review. Production Planning & Control, 34(1), 1–
18. https://doi.org/10.1080/09537287.2021.1884763
The article conducts a literature review to explore how supply chains can be designed
during product development. The study aims to provide insights into integrating supply
chain design activities into the product development process. Key findings from the
review reveal that supply chain design during product development is a critical aspect
that influences the overall success of product launches and the performance of supply
chains. The review identifies various supply chain design activities that can be performed
during product development, including supplier selection, distribution network design,
and inventory management strategies. The study also highlights the importance of early
ILP – ANNOTATED BIBLIOGRAPHY 12
collaboration between product development and supply chain teams to align product
specifications with supply chain capabilities. In the context of operations management,
the article emphasizes the need for operations managers to proactively engage in supply
chain design activities during product development to optimize supply chain
performance, reduce costs, and enhance overall competitiveness. This article will be used
in the integration section of chapter concepts from the textbook under the capacity
planning section.
Rintamäki, T., & Saarijärvi, H. (2021). An integrative framework for managing customer value
propositions. Journal of Business Research, 134(134), 754–764.
https://doi.org/10.1016/j.jbusres.2021.05.030
This article presents a framework for managing customer value propositions (CVPs). The
study aims to offer a comprehensive approach for businesses to understand, develop, and
deliver value plans to their customers effectively. The key findings of the research outline
the components and processes involved in managing CVPs, emphasizing the importance
of aligning CVPs with customer needs and market dynamics. The framework emphasizes
the ongoing process of value proposition management by advocating for consistent
monitoring and adjustment in response to shifts in customer preferences and competitive
environments. In the context of operations management, this article is relevant as it
underscores the significance of aligning business operations with value creation for
customers. Operations managers can leverage this framework to ensure that operational
processes, resources, and capabilities are structured and optimized to deliver value
propositions that resonate with target customers. Additionally, the framework provides a
systematic approach for operations management to integrate customer-centricity into
ILP – ANNOTATED BIBLIOGRAPHY 13
strategic decision-making and resource allocation processes. This article is anticipated to
be used in the integration section of chapter concepts from the textbook under the
customer value section.
Sundar, R., Balaji, A. N., & Kumar, R. M. S. (2014). A review on lean manufacturing
implementation techniques. Procedia Engineering, 97, 1875–1885.
https://doi.org/10.1016/j.proeng.2014.12.341
This article aims to provide a comprehensive review of lean manufacturing
implementation techniques. The study investigates various methods and strategies to
implement lean manufacturing principles within industrial settings. Key findings from the
review highlight the importance of selecting appropriate lean techniques tailored to
specific organizational contexts and challenges. The article identifies several commonly
employed lean tools and practices, such as value stream mapping, 5S methodology,
Kanban systems, and Total Productive Maintenance (TPM). The article also discusses the
significance of leadership commitment, employee involvement, and continuous
improvement in achieving successful lean implementation. In the context of operations
management, this study is relevant as it offers insights into effective approaches for
enhancing efficiency, reducing waste, and improving overall performance within
manufacturing operations. By understanding and implementing the techniques outlined in
the article, operations managers can optimize production processes, streamline
workflows, and enhance competitiveness in the marketplace. This article is anticipated to
be used in the integration section of chapter concepts from the textbook under the lean
manufacturing section.
ILP – ANNOTATED BIBLIOGRAPHY 14
Tawse, A., & Tabesh, P. (2023). Thirty years with the balanced scorecard: What we have
learned. Business Horizons, 66(1), 123–132. https://doi.org/10.1016/j.bushor.2022.03.005
This article reflects on the evolution and impact of the balanced scorecard (BSC) over
thirty years, looking at the key insights gained from its widespread adoption. The study
also sheds light on its enduring relevance in contemporary business practices. Key
findings underscore the BSC's role in providing a comprehensive framework for strategic
management, emphasizing its ability to align organizational goals with performance
metrics across various dimensions such as financial, customer, internal processes, and
learning and growth perspectives. Additionally, the article highlights the BSC's role in
fostering organizational learning, facilitating communication, and enhancing decision-
making processes. In the context of operations management, this study underscores the
importance of strategic performance measurement systems like the BSC in driving
operational excellence, aligning activities with strategic objectives, and fostering
continuous improvement initiatives. By providing a structured approach to performance
management, the BSC enables operations managers to monitor key performance
indicators, identify areas for improvement, and drive organizational effectiveness and
efficiency. This article is anticipated to be used in the integration section of chapter
concepts from the textbook under the balanced scorecard section.
Temur, L., Fruhner, D., & Klingebiel, K. (2019). Proactive demand and capacity management
for automotive logistics using an efficient information model. The European Modeling
and Simulation Symposium. https://doi.org/10.46354/i3m.2019.emss.020
This article uses an efficient information model to focus on proactive demand and
capacity management in automotive logistics. The study aims to enhance the efficiency
ILP – ANNOTATED BIBLIOGRAPHY 15
of demand and capacity management processes in the automotive industry by leveraging
advanced modeling techniques. By analyzing current practices and developing an
efficient information model, the researchers seek to optimize resource allocation,
minimize lead times, and improve overall operational performance in automotive
manufacturing. The study's key findings include identifying strategies for proactive
management of demand fluctuations and capacity constraints, developing an integrated
approach for demand forecasting and capacity planning, and implementing advanced
modeling tools to support decision-making processes. The article also notes the
importance of proactive demand and capacity management in addressing the challenges
of volatile market conditions, increasing customer demands, and global supply chain
complexities. In the context of operations management, this study is relevant because it
gives insights into effective strategies for optimizing production and distribution
processes, enhancing resource utilization, and improving customer service levels in the
automotive industry. By implementing suggested strategies, operations managers can
achieve greater agility, responsiveness, and market competitiveness. This article is
anticipated to be used in the integration section of chapter concepts from the textbook
under the capacity planning section.
Topalović, S. (2015). The implementation of Total Quality Management in order to improve
production performance and enhancing the level of customer satisfaction. Procedia
Technology, 19, 1016–1022. https://doi.org/10.1016/j.protcy.2015.02.145
This article investigates the implementation of Total Quality Management (TQM) and its
purpose of enhancing production performance and improving customer satisfaction.
Through empirical research and analysis, the author identifies key findings that highlight
ILP – ANNOTATED BIBLIOGRAPHY 16
the positive impact of TQM on production performance and customer satisfaction. The
study reveals that effective implementation of TQM principles results in enhanced
production performance, improved efficiency, reduced defects, and increased overall
output quality. Additionally, the research demonstrates that TQM practices contribute to
higher levels of customer satisfaction by ensuring consistent product quality, timely
delivery, and responsiveness to customer needs and preferences. In the context of
operations management, this study underscores the importance of adopting TQM
principles as a strategic approach to achieving operational excellence and enhancing
customer value. By integrating TQM into their operations, organizations can streamline
processes, minimize waste, and deliver products and services that meet or exceed
customer expectations, thereby improving overall performance and competitiveness in
the market. This article is anticipated to be used in the integration section of chapter
concepts from the textbook under the TQM section.
Yao, X., Almatooq, N., Askin, R. G., & Gruber, G. (2022). Capacity Planning and production
scheduling integration: Improving operational efficiency via detailed modeling.
International Journal of Production Research, 60(24), 7239–7261.
https://doi.org/10.1080/00207543.2022.2028031
This article investigates the integration of capacity planning and production scheduling to
enhance operational efficiency. The study aims to explore how these two critical aspects
of manufacturing can be effectively used to optimize resource utilization, minimize lead
times, and improve overall productivity. Through extensive modeling and analysis, the
researchers identify key findings that underscore the importance of aligning capacity
planning with production scheduling to achieve operational excellence. The authors
ILP – ANNOTATED BIBLIOGRAPHY 17
emphasize the significance of accurately estimating capacity requirements, balancing
production loads, and optimizing scheduling decisions to meet customer demand
efficiently. The study also highlights the role of advanced modeling techniques in the
decision-making processes and enhancing responsiveness to changing market conditions.
In the context of operations management, this research offers insights into strategies for
optimizing production processes, reducing costs, and improving customer service levels.
By integrating capacity planning and production scheduling effectively, operations
managers can achieve greater agility, flexibility, and competitiveness in today's
competitive manufacturing environment. This article is anticipated to be used in the
integration section of chapter concepts from the textbook under the capacity planning
section.
Zijm, W. H. M., & Buitenhek, R. (1996). Capacity Planning and lead time management.
International Journal of Production Economics, 46–47, 165–179.
https://doi.org/10.1016/0925-5273(95)00161-1
This article examines the complexities of capacity planning and lead time management
within production. The article's primary objective is to explore methods and strategies for
effectively managing capacity and lead times in manufacturing settings. Through a
comprehensive analysis, the authors investigate various approaches to capacity planning
and highlight the significance of lead time management in ensuring operational efficiency
and customer satisfaction. Key findings of the study include the importance of accurately
estimating capacity requirements, optimizing production schedules to minimize lead
times, and implementing effective inventory management practices to mitigate delays.
The article also notes the importance of aligning capacity planning and lead time
ILP – ANNOTATED BIBLIOGRAPHY 18
management to synchronize production capabilities and customer demand. In the context
of operations management, this article is relevant as it provides valuable insights into
optimizing resource utilization, enhancing production efficiency, and meeting customer
expectations. By implementing the strategies outlined in the study, operations managers
can effectively address capacity constraints, reduce lead times, and improve overall
performance in manufacturing operations. This article is anticipated to be used in the
integration section of chapter concepts from the textbook under the capacity planning
section.
