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Ford compay Final Dedited

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Management Information Systems: The purpose of this paper is to explore how
information systems are used to improve operational efficiency
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Management Information Systems: The purpose of this paper is to explore how
information systems are used to improve operational efficiency
Introduction
The Ford Motor Company is a renowned multinational automaker founded in 1903 and
located in Dearborn, Michigan. In 2022, Ford continued to be an outstanding force in the
automotive realm, with a grand workforce of around 186,000 workers and boasting an
impressive yearly revenue of approximately $127 billion (Tomac et al., 2019). Competing at the
summit of the business, Ford's chief competitors include industry leaders such as General
Motors, Honda, and Toyota. Addressing such an intense and strictly managed atmosphere, Ford
steers through different rules incorporating demanding ecological and safety regulations directly
affecting its operational mechanics. Within its organizational system, the Chief Information
Officer (CIO), who is charged with unifying IT objectives with business strategies, reports
directly to the Chief Executive Officer (CEO), reflecting the firm's acknowledgment of the
tactical importance of information technology. This strategic IT situation empowers the
organization to utilize information systems for enhanced operational efficacy and competitive
benefit. Inside this setting, the current paper will look into applying a Management Information
System (MIS) to address operational inadequacies in Ford's inventory management process.
Identified Inefficiency/Deficiency
The Ford Motor Company needs help with substantial operational inefficiency within its
inventory management, resulting in significant financial implications. It has been noted that the
present inventory system needs robust monitoring faculties and hinges heavily on manual
operations, which inevitably leads to excess inventory holding. Excessive stock binds the capital
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funds that could be otherwise applied for fruitful intentions. It incurs additional outlays such as
storage, handling, insurance, and prospective diminution, together referred to as inventory
carrying costs. Based on the analysis, this deficiency in inventory management results in
approximately $600 million in unrealized revenue annually (Boudette, 2021). This total is drawn
from the augmented disbursements connected with keeping surplus stock and the eschewed
occasion costs from the locked-up capital. Addressing this issue would refine operational
expertise and considerably advance the firm's fiscal execution. This obstacle necessitates a
comprehensive and mechanized resolution that can handily manage stock levels, intensify
prognosis exactness, and ultimately result in a substantial soar in revenue. This response,
directed at transforming Ford's inventory system, is indispensable in a sector managed by
efficacy and quick response times.
Proposed Solution
Current Process
Ford's inventory management process is characterized by its reliance on manual checks
and balances. When goods are received, their details are manually entered into the inventory
system. The inventory level checks for demand forecasting are subsequently performed, which
require human intervention. Based on these levels and forecasted demand, a manual restocking
order is placed when necessary. This process is susceptible to blunders and disparities, which can
generate inexactitudes in data. These errors have a ricocheting impact, as they affect the
excellence of predictions for demand and give rise to a buildup of extra inventory. As a result,
the current inventory management system could be more efficient, tying up resources and
leading to substantial unrealized revenue annually.
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Table 1: Current Process
Steps
Action
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Receipt of goods
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Manual entry into inventory system
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Inventory level check for demand forecasting
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Manual restocking order
Revised Process
The revised process aims to automate and streamline inventory management by
implementing a robust Management Information System (MIS). This transformation begins with
receiving goods and their automatic entry into the MIS, eliminating manual errors and increasing
data accuracy. The next step includes an automated check of inventory levels, offering real-time
visibility and enabling faster response to discrepancies. Subsequently, the system employs realtime demand forecasting, driven by artificial intelligence, to analyze sales data and market trends
for more precise planning (Laudon & Laudon, 2019). This technology enhancement allows for
an auto-generated restocking order, significantly reducing the lead time and ensuring optimal
stock levels. Adopting the MIS will bring about an automated, accurate, and efficient inventory
management process, boosting Ford's operational efficiency and positively impacting its bottom
line.
Table 2: Proposed Process
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Steps
Action
1
Receipt of goods and auto-entry into MIS
2
Automated inventory level check
3
Real-time demand forecasting
4
Auto-generated restocking order
Underlying Technologies
The technological components of the proposed answer construct a dependable and
effective management information system. These are designed to address the inadequacies in
Ford's current inventory management process and decrease surplus inventory levels.
The foundation of the proposed MIS is the Enterprise Resource Planning (ERP) System.
An ERP system such as SAP will be used because it seamlessly blends all business processes.
The combined system includes everything from procurement, manufacture, and sales to
inventory administration (Laudon & Laudon, 2019). This centralization of data guarantees realtime transparency and oversight over the inventory. With immediate access to up-to-date
information, the enterprise will be equipped to make more informed and timely decisions,
notably enhancing operational proficiency.
Radio Frequency Identification (RFID) Technology will be integrated into the MIS. This
engineering will permit inventory tracking in real-time, representing a significant transformation
from the current manual tracking system that is prone to human error and inaccuracies. RFID
tags will be located on items, which will then converse with the ERP system, ensuring the
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regular, automated update of inventory levels. This exact and competent tracking system will
assist in mitigating the issues of excessive inventory, thus driving down the carrying costs.
Artificial Intelligence (AI) and Machine Learning (ML) algorithms are set to become the
cornerstone of demand prediction within Management Information Systems (MIS). These
cutting-edge technologies leverage historical sales data and market trends to deliver highly
accurate demand forecasts. By harnessing AI and ML for demand forecasting, organizations can
effectively mitigate the risk of excess inventory and minimize wastage, resulting in enhanced
operational efficiency. The advanced predictive capabilities of AI and ML enable businesses to
optimize inventory levels, streamline supply chains, and make data-driven decisions, ultimately
driving improved profitability and customer satisfaction. Embracing these modern technologies
empowers organizations to stay ahead in a dynamic and competitive marketplace.
The proposed solution will incorporate cloud computing, providing the necessary storage
capacity for the vast data produced. A cloud-based solution offers greater scalability, which is
indispensable in adapting to the variable nature of Ford's operations. Additionally, it provides
accessibility, guaranteeing that real-time updates to the inventory database can be accessed from
any place at any time. This improves the system's functionality, making it a beneficial tool for
inventory management.
Implementation Plan
The implementation plan for the new Management Information System (MIS) at Ford
Motor Company will pursue a phased approach, which is a technique that allows the project to
be divided into achievable segments or stages. This will yield smoother adaptations, reduce
project risks, and allow frequent assessment and necessary corrections. It will commence with a
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pilot stage, where the system will be tried in a determined department to evaluate its proficiency
and convenience(Laudon & Laudon, 2019). Afterward, the system will be rolled out to other
departments based on their operational importance, ensuring negligible disturbances to the
enterprise. The Key Performance Indicators (KPIs) that will measure the victory of the answer
involve inventory turnover rates, bearing costs, and forecast accuracy. Regular observation and
appraisals will ensure that the new system satisfies the set KPIs and produces the predicted
profits. Alongside this, Critical Success Factors (CSFs) such as obtaining support from all
relevant parties, efficient training courses for personnel, and firm data migration and
combination protocols will ensure a straightforward transition to the new system. The stepwise
implementation will cease once the system is functional throughout all departments and brings
the expected developments in operational efficacy.
Conclusion
In conclusion, the exploration of Ford Motor Company's operations has highlighted the
role of Management Information Systems (MIS) in enhancing operational efficiency. By tackling
the identified deficiency in inventory management, the proposed implementation of a robust
MIS, encompassing technologies like ERP, RFID, AI, ML, and cloud computing, offers an
innovative and efficient solution. The solution is expected to minimize human errors, reduce
surplus inventory, improve forecasting accuracy, and ultimately recover an estimated $600
million in unrealized annual revenue by automating the inventory management process. Beyond
inventory management, the strategic alignment of information technology and business goals
exemplifies how organizations can leverage technology to drive operational excellence, improve
financial performance, and secure a competitive advantage in a challenging market environment.
Hence, this case study underscores the significance of integrating technology into core business
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operations, emphasizing that the strategic deployment of MIS can be a key differentiator in
business performance and success. Furthermore, it illuminates that companies that are agile and
receptive to technological innovations can considerably boost their efficiency and profitability,
thereby reinforcing their market standing.
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References
Boudette, N. E. (2021, October 27). Ford’s profit declines as automakers deal with supply-chain
troubles. The New York Times. https://www.nytimes.com/2021/10/27/business/fordsprofit-declines-as-automakers-deal-with-supply-chain-troubles.html
Laudon, K. C., & Laudon, J. P. (2019). Management information systems: Managing the digital
firm. Pearson Educación. https://www.pearson.com/en-us/subject-catalog/p/managementinformation-systems-managing-the-digital-firm/P200000007602/9780135191927
Tomac, N., Radonja, R., & Bonato, J. (2019). Analysis of Henry Ford’s contribution to
production and management. Pomorstvo, 33(1), 33–45. https://doi.org/10.31217/p.33.1.4
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