Transportation: A Global Supply Chain Perspective
9th Edition
ISBN: 9781337406642
Author: Robert A. Novack, Brian Gibson, Yoshinori Suzuki, John J. Coyle
Publisher: Cengage Learning
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Chapter 3, Problem 3SQ
Summary Introduction
To determine: TMS enabled delivery process planning, execution and control.
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There are five most recognized personality traits that can reliably be measured and predict negotiator behavior in a number of different situations. All of the following are one of those "Big 5" personality traits except _____.
A. conscientiousness
B. introversion
C. agreeableness
D. openness to experience
With regard to reputation in negotiation, negotiators who use adversarial, stubborn, and ethically questionable behavior often have the effect of _____.
A. improving their business relationships
B. decreasing their effectiveness as a negotiator
C. improving their business relationships
D. decreasing their group status
When it comes to assertiveness, there is only a modest link between negotiators' self-views and how the counterparty sees them. Many negotiators come away from a negotiation thinking they came on too strong with the counterparty. The _____ refers to the fact that negotiators believe they are coming on too strong with the counterparty, but they actually are not.
A. Collective trap illusion
B. Attribution error
C. Aggressive anchoring bias
D. Line-crossing illusion
Chapter 3 Solutions
Transportation: A Global Supply Chain Perspective
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- As you think about the issue of using chatbots in contract negotiations, consider whether other facets and concepts of negotiations that we have discussed and whether they would be adequately addressed.arrow_forwardWhile I am not a fan of AI as of yet, I do understand the endless possibilities. Based on the research, it is clear that AI has great potential for negotiation (Yang, 2025). Herold et al. (2025) suggested that AI can flag potential risks and liabilities, allowing negotiators to address them and mitigate potential problems proactively. AI can draft new contract templates by examining industry standards and past contracts, and AI technology can help lawyers spot errors and inconsistencies in contract drafts. In relation to risk management, AI can flag possible risks and liabilities, allowing negotiators to proactively address them and lessen potential problems, which can speed up the negotiation process, making the negotiation efficient because AI can industrialize tasks like document review, redlining, and finding potential issues, significantly reducing negotiation time. Lastly, AI can analyze vast amounts of data and identify errors, inconsistencies, and irregularities in…arrow_forwardWhat is a main thought on using AI in contract negotiations?arrow_forward
- What are some people thoughts on using AI in contract negotiations?arrow_forward3. Develop a high-level or summary: a. Risk Management Plan Focus on specific, actionable steps for each risk and mitigation strategy.Provide detailed timelines for procurement, stakeholder engagement, and risk monitoring.Avoid over-simplifying and add more technical details in areas like quality assurance and financial control measures. Add a risk prioritization method and mention how risks will be monitored and reviewed throughout the project lifecycle. Overall, it is well organized andc overs key risks.arrow_forward3. Develop a high-level or summary: Human Resource Management Plan Provide more concrete timelines and actionable steps for human resource management.Include more detailed risk management strategies and link them more explicitly to the overall project plan.Expand on how training and development will be evaluated and tracked.Also, the overall length is good, but some sections could be condensed by eliminating repetition (e.g., you discuss stakeholder communication and engagement in two sections without adding new information).Try not to repeat the same risk management ideas (e.g., resource sharing and stakeholder concerns) in multiple sections without adding value.arrow_forward
- Based on the U.S. Department of Transporation's publication on the number of inrternatioal passengers that come through New York airport (JFK) in 2012, how would I estimate the passenger volume for the coming year?arrow_forwardWhat are the role of trends and seasonality based on the Department of Transportation publication of the number of international passengers that come through New York (JFK) in 2012?arrow_forward(All info i was given, i simplified it) Gas sales across type: 80% of gas sales tend to be regular. 15% midgrade, 5% tend to be premium. $0.10 increase in price per gallon tends to decrease gallons sold by 1 to 3%. Jan-0.87, Feb-0.95, Mar-1.00, Apr-1.05, May-1.08, Jun1.15, Jul-1.13, Aug-1.07, Sep-1.02, Oct-0.94, Nov-0.89, Dec-0.85. You want the MAPE to be below 20%, if ypu can get it to or below 10% they'll throw in extra $10k bonus. They wont get bonus if it is above 11% or 20%. It cannot be over 20%. Forecast for January 2025 andarrow_forward
- What variables can I expect to influence the number of international travelers to New York (JFK) airport based on the U.S. Department of Transportation?arrow_forwardSimulation To start the simulation, review all communication and documents. You will find key information to assist your success in the simulation. Actual Demand in Previous Months 15K MAPE: 0% Demand 10K 5K Regular Midgrade 0% 0% 0 January 2025 (24 Month Remaining) ՈՐ AUG o Make a Forecast Current Decision Past Decision Forecast for January 2025 Sept Month Range 00 Oct Nov Dec Use Al REGULAR ↓ 0 t Gallons (3 chances) MIDGRADE 1 Gallons Forecast demand can not be less than 100! Answer Price Prediction: M Possible increase in January 2025 Regular + Midgradearrow_forwardA company operates a manufacturing plant that produces two products, A and B. The plant has the following capacity data: Design Capacity: 15,000 machine hours per month Effective Capacity: 12,000 machine hours per month Actual Output (Utilized Capacity): 10,000 machine hours per month Additionally, the plant produces Product A and Product B, with the following production data: Product Demand (Units) Processing Time (hours per unit) Contribution Margin ($ per unit) A 3,000 2.5 40 B 4,000 1.5 30 Calculate the plant’si.Capacity Utilization ii. Effective Capacity Utilization iii. Efficiency. Interpret the results. Compute the total machine hours required to meet full demand for both products. Determine whether the…arrow_forward
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