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The learning outcomes of this paper are as follows: to understand the context of seaport logistics and supply chain design structure, to apply Monte Carlo simulation in the interface of the supply chain and to analyze the Monte Carlo simulation algorithm and statistical techniques for identifying the key seaport logistics factors.

It was 9:00 p.m. on November 10, 2020, and Nishadh Amonkar, the CEO of OCTO supply chain management (SCM) was glued to the television watching the final cricket match of the Indian Premier League, 2020. Amonkar’s mobile phone rang and it was a call from Vinod Nair, a member Logistics Panel of Ranji Industries Federation. Nair informed Amonkar that it was related to the rejection of several export consignments of agricultural products from Ranji (in the western part of India). The rejection was due to the deterioration in the quality of the exported agricultural products during transit from Ranji to various locations in Europe.

This course is suitable at the MBA level for the following courses: Operations research (Focus/Session: Applications on Monte Carlo Simulation). SCM (Focus/Session: Global SCM, Logistics Planning, Distribution Network). Logistics management (Focus/Session: Transportation Planning). Business statistics (Focus/Session: Application of Hypothesis Testing).

Teaching Notes are available for educators only.

CSS 9: Operations and logistics.

One Acre Fund (1AF) is a nonprofit organization in rural western Kenya that helps farmers lift themselves out of poverty by providing a bundle of products and services that support farmers with quality inputs, training on farming techniques, access to credit, and assistance in achieving optimal prices. Since the organization's founding nearly a decade ago, it has grown to serve over 180,000 farm families annually as of July 2014. This high level of penetration into rural Kenya, Rwanda, Burundi, and Tanzania makes 1AF a potential distribution channel for rolling out new products and technologies that could benefit farmers and their families. The organization prides itself on its innovative culture, and always strives to offer new products and methods to its farmers. In 2011 1AF realized that it needed to formalize its innovation process to ensure it was confident in new products before rolling them out across its entire farmer network. It therefore created a robust, multistep evaluation framework to assess new innovations on four criteria: impact, adoptability, simplicity, and operability.

After reading and analyzing the case, students will be able to:

• Articulate the importance of understanding the user's needs and perspective throughout the innovation process

• Identify key factors for a successful product launch into an existing channel

• Employ an assessment framework to analyze the viability of a potential innovation

• Design a test pilot for evaluating the launch of new innovations within an organization

Articulate the importance of understanding the user's needs and perspective throughout the innovation process

Identify key factors for a successful product launch into an existing channel

Employ an assessment framework to analyze the viability of a potential innovation

Design a test pilot for evaluating the launch of new innovations within an organization

The decision maker is in charge of procurement auctions at the department of transportation of Orangia (a fictitious U.S. state). Students are asked to assist him in estimating the winning bids in various auctions concerning highway repair jobs using data on past auctions. The decision maker is faced with various professional, statistical, and ethical dilemmas.

To analyze highway procurement auctions from the buyer-auctioneer perspective, establish basic facts regarding the project price-to-estimated cost ratio, set up and estimate a structural regression model to predict the winning bid, and compute the probability the winning price will be below estimated cost. Difficulties include heteroskedasticity, logarithmic specification, and omitted variable bias. Also to estimate a Logit regression and predict bidder collusion probability.

Supplements the (A) case.

Quality Wireless has received customer complaints about long hold times at its call center. To address these complaints, it put into place certain process changes at its call center. After one month, the company will now decide whether improvement has taken place.

To develop an understanding of process capability and how an improvement can be statistically validated. To understand the “check” phase of the plan-do-check-act cycle of Deming, using basic statistical principles.

Quality Wireless has received customer complaints about long hold times at its call center. To address these complaints, it put into place certain process changes at its call center. After one month, the company will now decide whether improvement has taken place.

To develop an understanding of process capability and how an improvement can be statistically validated. To understand the “check” phase of the plan-do-check-act cycle of Deming, using basic statistical principles.

This study aims to use a variant from the family of discrete choice models, i.e. the logit model, to analyse the relationship between the Y dependent and X explanatory variables. This model addresses the linear probability model's main drawback by constraining the probabilities of the Y outcome between 0 and 1. The logit model also offers an extra advantage, in that it can provide odd ratio estimations.

This is a compact case written specifically to teach statistics, econometrics and research method. It has an accompanying data set for the case-users to do hands-on statistical analyses. The data set has been collected from a questionnaire survey from the students enrolled in Attitune, i.e. the music school that the case protagonist founded.

The case revolves around a relatively new music school, Attitune Music, established in July 2017 in the heart of the capital city of a northern state in Malaysia. Michael Lee Wei-Pin was the founder of Attitune Music Sdn. Bhd. He was also one of the four music instructors of Attitune Music. His speciality instruments were the guitar and the piano. The case opens with the case protagonist, Michael, pondering over Attitune’s performance in terms of its music students’ enrolment. Attitune faced a major challenge – its student enrolment had remained more or less constant since its establishment. Low and/or constant number of students could ultimately translate into stagnant or even worse, shrinking revenues for Attitune. To attract more students, Michael had been toying with the idea of injecting new elements into Attitune’s music lessons, something different from what other music schools were offering and that could be unique selling points for Attitune. With this in mind, Michael surveyed Attitune’s students to gather information that could help him gauge the potential and feasibility of his idea.

This case is well positioned to be perhaps the pioneer Malaysian teaching case to be written to teach courses in statistics, econometrics and research methods. The case can be easily adapted to teach at either the introductory or at an advanced level.

Two recently graduated MBA students are tasked with developing an ad-serving learning algorithm for a mobile ad-serving company. The case illustrates the way in which hypotheses can be tested in an A/B format or “horse race” in order to establish customer preferences and superior profitability. The case was written for a course elective covering hypothesis testing.

The case fosters discussions on basic concepts of entrepreneurship that include building a minimum viable product before launching a finished product, the importance of doing market research for early-stage startups, challenges in understanding an unfamiliar domain or industry and understanding the dynamics of business to business market.

Team Arnetta’s founders were interviewed in relation to the case. After the initial round of interviews, a product demonstration was given by Arnetta. Follow up interviews were conducted to delve-deeper into the problem while secondary research was conducted to understand the market dynamics and competitive landscape at the point in time in the case.

The four founders of Arnetta Technologies debate go-to-market timing for Integrated Breeding and Research Management Software, a data handling software for the R&D process followed by seed enterprises in India. The founders had spent over US$75,000 on the product development on which they had been working for more than one year. Two of the founders had given up their full-time jobs to work dedicatedly on the venture. The product was being customized to the requirements of their only client. Product development was taking longer than anticipated. To add to the challenges, international competitors had started capturing the Indian market. The founders had two options. First, they could wait and finish the product development before reaching out to their prospective clients – leading to delays and losing out on the market. Second, they could reach out to prospective clients and convince them to use the work-in-progress version of the product – which could turn out to be a deal breaker. The founders had to come to a consensus soon.

The case is intended for students in undergraduate or graduate-level courses related to entrepreneurship, new venture creation, innovation management and business management.